Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design | Paper Citation Record

Observation 785ecec0-0f86-4d63-987a-27d1fb2dba31 · outbound

This paper cites Polypharmacology: The science of multi -targeting molecules.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Polypharmacology: The science of multi -targeting molecules

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:12.961864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4640e04e-d031-48b6-b53e-6f2e43537205 · outbound

This paper cites Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.029070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ce8af9-9560-483e-b85d-555ea1e5b711 · outbound

This paper cites one ligand – one pocket.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design one ligand – one pocket

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:12.742301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22103c75-426b-4229-85eb-0863284a56c1 · outbound

This paper cites one drug, one target.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design one drug, one target

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:12.898642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a004f88-8055-4d5d-a8cc-e25cc382f321 · outbound

This paper cites DNA -encoded library screening identifies CDK2 - targeting lead compounds with favorable drug -like properties for anticancer development.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design DNA -encoded library screening identifies CDK2 - targeting lead compounds with favorable drug -like properties for anticancer development

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.320982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b54386d-05cf-4f7c-b7b7-8e552640635b · outbound

This paper cites Pharmacological effects, classification, genetic and molecular studies of different chemotypes essential oil of Perilla frutescens (L.) Britt.: A review.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Pharmacological effects, classification, genetic and molecular studies of different chemotypes essential oil of Perilla frutescens (L.) Britt.: A review

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.364290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f2be8c-9968-4d65-89c6-c246cd4d5b65 · outbound

This paper cites Toward structure –multiple activity relationships (SMARts) using computational approaches: A polypharmacological perspective.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Toward structure –multiple activity relationships (SMARts) using computational approaches: A polypharmacological perspective

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.425443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 263ae462-b5a8-4eb3-8f7b-240da2763add · outbound

This paper cites De novo generation of multi -target compounds using deep generative chemistry.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design De novo generation of multi -target compounds using deep generative chemistry

Reference 8

Resolution: verified exact; doi, observed 2026-08-02T05:33:28.251762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4310ec2f-0c36-45e7-a25b-129ef09f5dba · outbound

This paper cites Cucurbitacin B mitigates Staphylococcus aureus pathogenicity and reprograms macrophage responses to restore host defense.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Cucurbitacin B mitigates Staphylococcus aureus pathogenicity and reprograms macrophage responses to restore host defense

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.250131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7226a238-10e6-47bb-8c81-5921a17ac57f · outbound

This paper cites AlphaFill: enriching AlphaFold models with ligands and cofactors.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design AlphaFill: enriching AlphaFold models with ligands and cofactors

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-08-02T05:33:28.094381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 111ba59d-2c18-402f-9f42-31a93ce2ca5c · outbound

This paper cites Accurate structure prediction of biomolecular interactions with AlphaFold 3.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Accurate structure prediction of biomolecular interactions with AlphaFold 3

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.741324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94388819-f72a-4875-ad6a-2204ca33f6d4 · outbound

This paper cites AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high -accuracy models.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high -accuracy models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.808747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500e749c-2dcb-4744-9399-0c5a04cff55d · outbound

This paper cites AI for targeted polypharmacology: The next frontier in drug discovery.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design AI for targeted polypharmacology: The next frontier in drug discovery

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.477784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f404ea-9eef-4404-864d-9dc24f6a1c9c · outbound

This paper cites Structure -based drug design with geometric deep learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Structure -based drug design with geometric deep learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.564400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651bbc7c-06b5-4959-a8e3-ad179e3bc32f · outbound

This paper cites Comprehensive detection and characterization of human druggable pockets through binding site descriptors.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Comprehensive detection and characterization of human druggable pockets through binding site descriptors

Reference 15

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.755737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d70c68f7-4c2a-44f9-b369-94a09d75eef5 · outbound

This paper cites A geometric deep learning approach to predict binding conformations of bioactive molecules.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design A geometric deep learning approach to predict binding conformations of bioactive molecules

Reference 17

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.445908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 168d2142-f48d-4cef-adb3-598f8a324b40 · outbound

This paper cites Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:13.843291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c5f85c-8833-4681-a095-d4d999b17d48 · outbound

This paper cites Enabling late-stage drug diversification by high -throughput experimentation with geometric deep learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Enabling late-stage drug diversification by high -throughput experimentation with geometric deep learning

Reference 19

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.940485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48b640c9-b87c-4e07-9b11-5f1d1fd4dc19 · outbound

This paper cites Generating 3D small binding molecules using shape -conditioned diffusion models with guidance.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Generating 3D small binding molecules using shape -conditioned diffusion models with guidance

Reference 20

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.187251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e762eff1-f6b2-461a-92da-bf160de7c264 · outbound

This paper cites Magic shotguns versus magic bullets: selectively non - selective drugs for mood disorders and schizophrenia.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Magic shotguns versus magic bullets: selectively non - selective drugs for mood disorders and schizophrenia

Reference 21

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.072434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6000a022-47c9-4f3b-a6ee-cb8d47ee2dad · outbound

This paper cites Preclinical overview of sorafenib, a multikinase inhibitor that targets both Raf and VEGF and PDGF receptor tyrosine kinase signaling.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Preclinical overview of sorafenib, a multikinase inhibitor that targets both Raf and VEGF and PDGF receptor tyrosine kinase signaling

Reference 22

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.943385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0541e5ee-8d54-4ab9-a8e2-c20b8516e902 · outbound

This paper cites Machine learning-aided generative molecular design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Machine learning-aided generative molecular design

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-02T05:32:14.129233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a20260c-61db-4a52-99c5-8f31e922b1e8 · outbound

This paper cites Improving de novo molecular design with curriculum learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Improving de novo molecular design with curriculum learning

Reference 24

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.294459Z

Source-reported events for the cited work

correction dated 2022-07-20. Source: crossref record 10.1038/s42256-022-00522-3->10.1038/s42256-022-00494-4:correction, observed 2026-07-11T03:06:46.613889+00:00. This notice travels one citation hop only.

Observation 39715abf-5e51-43e8-a205-97af52f472aa · outbound

This paper cites PPARα: An emerging target of metabolic syndrome, neurodegenerative and cardiovascular diseases.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design PPARα: An emerging target of metabolic syndrome, neurodegenerative and cardiovascular diseases

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.538690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a77813-d84f-4051-ba81-6ec07ff660df · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.589876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d1a4bfc-0133-4286-a036-1590ff2e112b · outbound

This paper cites Graph Attention Networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Graph Attention Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.643736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8972b1-c819-42ae-879a-d7166e2311c8 · outbound

This paper cites Kinase drug discovery 20 years after imatinib: progress and future directions.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Kinase drug discovery 20 years after imatinib: progress and future directions

Reference 28

Resolution: malformed identifier; doi_truncated, observed 2026-08-02T05:33:26.858273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61921cb6-d648-4d6c-823b-3cc756342e62 · outbound

This paper cites an unresolved cited work.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.830075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd0fe083-d586-48b3-8ff3-ebc8b6516b9a · outbound

This paper cites SchNet – A deep learning architecture for molecules and materials.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design SchNet – A deep learning architecture for molecules and materials

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.807795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb40fbda-e2c8-4c5c-bbb2-562b85e40fa0 · outbound

This paper cites Directional Message Passing for Molecular Graphs.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Directional Message Passing for Molecular Graphs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.882270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f549f3e4-057f-46d1-b29d-f08efb8cad79 · outbound

This paper cites E(n) Equivariant Graph Neural Networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design E(n) Equivariant Graph Neural Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.935960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445f4662-ad79-4f2b-b640-fe5f62ed2f12 · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Neural Message Passing for Quantum Chemistry

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:14.711637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec47b027-1b74-446c-a683-36c8009456d1 · outbound

This paper cites Graph Attention Site Prediction (GrASP): Identifying Druggable Binding Sites Using Graph Neural Networks with Attention.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Graph Attention Site Prediction (GrASP): Identifying Druggable Binding Sites Using Graph Neural Networks with Attention

Reference 34

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.761622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 059eb06c-1653-4ef4-a2b9-45533752f908 · outbound

This paper cites Learning from Protein Structure with Geometric Vector Perceptrons.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Learning from Protein Structure with Geometric Vector Perceptrons

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.218014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111a405e-05ad-4c27-8664-bae30b5a49fb · outbound

This paper cites CASTER -DTA: equivariant graph neural networks for predicting drug –target affinity.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design CASTER -DTA: equivariant graph neural networks for predicting drug –target affinity

Reference 36

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.659572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57dcd61c-4695-480b-87ae-1a93ae256570 · outbound

This paper cites EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.518994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c332322-a691-48db-a735-dae57c7cb3cf · outbound

This paper cites SE(3) -Transformers: 3D Roto -Translation Equivariant Attention Networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design SE(3) -Transformers: 3D Roto -Translation Equivariant Attention Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.011052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ab79098-1bcb-4190-9b89-6b239f7f29d8 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.111329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb9426c-fd74-4afe-bc50-4472181f2c34 · outbound

This paper cites Structure -based drug design with equivariant diffusion models.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Structure -based drug design with equivariant diffusion models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.814541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0eabf60-9e02-4c8d-bf9d-a0113528f100 · outbound

This paper cites PILOT: equivariant diffusion for pocket - conditioned de novo ligand generation with multi -objective guidance via importance sampling.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design PILOT: equivariant diffusion for pocket - conditioned de novo ligand generation with multi -objective guidance via importance sampling

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.862321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b72ea95-d9f4-4407-a01e-0613f0083ded · outbound

This paper cites Equivariant diffusion for structure-based de novo ligand generation with latent -conditioning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Equivariant diffusion for structure-based de novo ligand generation with latent -conditioning

Reference 42

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.573515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e673b62b-0f82-467d-98c0-82e27aef2cb5 · outbound

This paper cites Geometric Deep Learning for Structure -Based Ligand Design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Geometric Deep Learning for Structure -Based Ligand Design

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.645353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46787ed4-52c0-4bcf-8408-d25fd512bdcb · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:15.748564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4863f1c6-7b9f-4e03-bf3a-48eb15ead484 · outbound

This paper cites SE(3)-equivariant ternary complex prediction towards target protein degradation.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design SE(3)-equivariant ternary complex prediction towards target protein degradation

Reference 45

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.369457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 113515dd-da35-4ac9-95dc-4e133bdb1580 · outbound

This paper cites Electron -density-informed effective and reliable de novo molecular design and optimization with ED2Mol.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Electron -density-informed effective and reliable de novo molecular design and optimization with ED2Mol

Reference 46

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.318389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82b97247-1535-439b-8648-7cab69383338 · outbound

This paper cites DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks

Reference 47

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.227383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27b600f2-d0bf-4a37-b859-9f1ea9e1f029 · outbound

This paper cites GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues

Reference 48

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.504204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10e63529-ab0c-432e-9d5a-0f1d255b08f7 · outbound

This paper cites Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Reference 49

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.448041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c67e29d0-635a-4140-801c-0b0e304a6c88 · outbound

This paper cites GPSFun: geometry -aware protein sequence function predictions with language models.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design GPSFun: geometry -aware protein sequence function predictions with language models

Reference 50

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.988762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 796e3e06-b243-4432-be8c-a92e766ccabf · outbound

This paper cites Unified protein –small molecule graph neural networks for binding site prediction.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Unified protein –small molecule graph neural networks for binding site prediction

Reference 51

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.896072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ccb8d79d-d505-41c7-91f4-ee1ca2114694 · outbound

This paper cites Spatiotemporal identification of druggable binding sites using deep learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Spatiotemporal identification of druggable binding sites using deep learning

Reference 52

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.819036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e8e7552-8753-426f-b4cf-44bc4d5d0e1b · outbound

This paper cites Targeting protein– ligand neosurfaces with a generalizable deep learning tool.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Targeting protein– ligand neosurfaces with a generalizable deep learning tool

Reference 53

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.164312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86692c4a-7068-45f9-a11e-b8921fa08db4 · outbound

This paper cites Protein Binding Site Representation in Latent Space.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Protein Binding Site Representation in Latent Space

Reference 54

Resolution: verified exact; doi, observed 2026-08-02T05:33:26.081765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebec30ec-d554-4cae-8822-78799cd21eed · outbound

This paper cites Applications of machine learning in drug discovery and development.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Applications of machine learning in drug discovery and development

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:16.879849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e2c6f5-ecbc-4702-baf5-f200ff288f4f · outbound

This paper cites Rethinking drug design in the artificial intelligence era.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Rethinking drug design in the artificial intelligence era

Reference 56

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.680013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 318b6184-ede8-4a47-8dec-536ef69b184a · outbound

This paper cites RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design

Reference 57

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.596881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8f4fa2c-af25-4dcb-b598-59f6a385c5c2 · outbound

This paper cites Navigating structure-based drug discovery with emerging innovations in physics - and knowledge -based approaches.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Navigating structure-based drug discovery with emerging innovations in physics - and knowledge -based approaches

Reference 58

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.780828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 038f4a35-f0fb-4ff4-ac65-4fce48dbffe2 · outbound

This paper cites Generative Deep Learning for de Novo Drug Design─A Chemical Space Odyssey.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Generative Deep Learning for de Novo Drug Design─A Chemical Space Odyssey

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:16.805357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4283aacf-8f4e-4d68-9fec-07386b3d814e · outbound

This paper cites De novo design of protein structure and function with RFdiffusion.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design De novo design of protein structure and function with RFdiffusion

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.135389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27e517ac-a265-411a-9109-0743764d39b6 · outbound

This paper cites Guided multi -objective generative AI to enhance structure -based drug design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Guided multi -objective generative AI to enhance structure -based drug design

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.190673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402b8cc9-0486-47e6-bc26-d0777f1d83ac · outbound

This paper cites Multi-Objective Molecule Generation using Interpretable Substructures.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Multi-Objective Molecule Generation using Interpretable Substructures

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.241275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edf53a4-aa61-400d-9cb2-2e8e8c817d97 · outbound

This paper cites FragGen: towards 3D geometry reliable fragment-based molecular generation.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design FragGen: towards 3D geometry reliable fragment-based molecular generation

Reference 63

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.505290Z

Source-reported events for the cited work

correction dated 2024-12-19. Source: crossref record 10.1039/d4sc90252a->10.1039/d4sc04620j:correction, observed 2026-07-11T02:55:42.689097+00:00. This notice travels one citation hop only.

Observation a33a4188-3613-439c-b20d-b6249fbf1cd6 · outbound

This paper cites Target -aware 3D molecular generation based on guided equivariant diffusion.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Target -aware 3D molecular generation based on guided equivariant diffusion

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.082613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6540a2ca-39fe-43b0-8f83-7f3c47ac0cf5 · outbound

This paper cites Structure -aware dual-target drug design through collaborative learning of pharmacophore combination and molecular simulation.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Structure -aware dual-target drug design through collaborative learning of pharmacophore combination and molecular simulation

Reference 65

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.392779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d1d52e1b-3ed7-4fb8-9744-5a64d21746b4 · outbound

This paper cites A 3D generation framework using diffusion model and reinforcement learning to generate multi -target compounds with desired properties.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design A 3D generation framework using diffusion model and reinforcement learning to generate multi -target compounds with desired properties

Reference 66

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.311746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation df92362a-8e8c-4dbc-9b35-20620ca07c10 · outbound

This paper cites bystander targets.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design bystander targets

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:12.858231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7316a200-7f97-41b6-bb6a-7585aae54839 · outbound

This paper cites MARS: Markov Molecular Sampling for Multi-objective Drug Discovery.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.305309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e254a461-f965-45db-918d-15425c973cb7 · outbound

This paper cites Automated design of multi -target ligands by generative deep learning.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Automated design of multi -target ligands by generative deep learning

Reference 69

Resolution: verified exact; doi, observed 2026-08-02T05:33:27.646296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b88ae72-7286-4390-845a-26e5cf475769 · outbound

This paper cites FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-08-02T05:33:25.025735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7540481-7839-44b0-adbd-84e52409b843 · outbound

This paper cites Building a knowledge graph to enable precision medicine.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Building a knowledge graph to enable precision medicine

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.740512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0de24c7-2c80-4120-9945-e5d15c219c47 · outbound

This paper cites Reprogramming Pretrained Target - Specific Diffusion Models for Dual -Target Drug Design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Reprogramming Pretrained Target - Specific Diffusion Models for Dual -Target Drug Design

Reference 72

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.223130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c52770b-9747-44ce-8265-5c4207d1edc2 · outbound

This paper cites DeepDTAGen: a multitask deep learning framework for drug -target affinity prediction and target -aware drugs generation.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design DeepDTAGen: a multitask deep learning framework for drug -target affinity prediction and target -aware drugs generation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.567309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659c3890-6f34-48a2-92fd-9e5d03d6323d · outbound

This paper cites 3D molecular generative framework for interaction -guided drug design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design 3D molecular generative framework for interaction -guided drug design

Reference 74

Resolution: verified exact; doi, observed 2026-08-02T05:33:25.137708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c706e767-b9c5-42ee-9e13-9e7e4d4b9a4c · outbound

This paper cites Systematic identification of genomic markers of drug sensitivity in cancer cells.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Systematic identification of genomic markers of drug sensitivity in cancer cells

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:18.245969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e15a3a-486e-4bb9-b8c1-9cae2b49fedd · outbound

This paper cites A Landscape of Pharmacogenomic Interactions in Cancer.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design A Landscape of Pharmacogenomic Interactions in Cancer

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:18.364955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb911b7-7f2c-4874-a8a1-7299f3c74808 · outbound

This paper cites A knowledge graph to interpret clinical proteomics data.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design A knowledge graph to interpret clinical proteomics data

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:17.857788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb9e842-e35c-46e3-af4b-3033770f1893 · outbound

This paper cites GeOKG: geometry -aware knowledge graph embedding for Gene Ontology and genes.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design GeOKG: geometry -aware knowledge graph embedding for Gene Ontology and genes

Reference 78

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.928090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebba38eb-700c-4f53-963a-3194e571eeff · outbound

This paper cites Hi -GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Hi -GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction

Reference 79

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.798518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 735f9279-b9cd-4745-82bc-13ad072ae8a5 · outbound

This paper cites Generalized biomolecular modeling and design with RoseTTAFold All -Atom.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Generalized biomolecular modeling and design with RoseTTAFold All -Atom

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:18.806537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731d5b31-b6af-41e3-8190-38afb8062bed · outbound

This paper cites Evolutionary -scale prediction of atomic- level protein structure with a language model.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Evolutionary -scale prediction of atomic- level protein structure with a language model

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:18.949096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f1d26d-9f4f-4d52-8cdc-5fdadf16a3a2 · outbound

This paper cites Discovering the anticancer potential of non-oncology drugs by systematic viability profiling.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Discovering the anticancer potential of non-oncology drugs by systematic viability profiling

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:18.483105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf9e8f6-6405-4831-9778-3c62304c8cf4 · outbound

This paper cites The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Reference 83

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.739528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d95272b-e412-45d1-90bd-fea8dd6278c6 · outbound

This paper cites LaMGen: LLM -based 3D molecular generation for multi -target drug design.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design LaMGen: LLM -based 3D molecular generation for multi -target drug design

Reference 84

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.637868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f4039df-143d-4925-a05d-04e1f3687bed · outbound

This paper cites Multiview Deep Learning -Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Multiview Deep Learning -Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.338288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee67005e-4172-4a58-aae3-fb86b0e24122 · outbound

This paper cites The IUPHAR/BPS Guide to PHARMACOLOGY in 2024.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design The IUPHAR/BPS Guide to PHARMACOLOGY in 2024

Reference 86

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.361825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7901e546-26b1-4867-8715-973573b95ce6 · outbound

This paper cites SeaMoon: From protein language models to continuous structural heterogeneity.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design SeaMoon: From protein language models to continuous structural heterogeneity

Reference 87

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.541155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3579bca3-e28c-4dd7-bd78-56221bb7a30a · outbound

This paper cites Single -sequence protein-RNA complex structure prediction by geometric attention -enabled pairing of biological language models.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Single -sequence protein-RNA complex structure prediction by geometric attention -enabled pairing of biological language models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.202649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0d1f6ed-d75a-4a5b-9163-2f5a8a1dad0c · outbound

This paper cites EquiPNAS: improved protein–nucleic acid binding site prediction using protein -language-model-informed equivariant deep graph neural networks.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design EquiPNAS: improved protein–nucleic acid binding site prediction using protein -language-model-informed equivariant deep graph neural networks

Reference 89

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.468535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15a6b2f7-e9c4-4799-9a65-921d853d330c · outbound

This paper cites The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.723542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c192fbe-c81c-4d21-b35b-68dd334dd198 · outbound

This paper cites Evidential deep learning -based drug-target interaction prediction.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Evidential deep learning -based drug-target interaction prediction

Reference 91

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.164808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faf1fb62-ce06-4a70-924d-1ddfa384bee3 · outbound

This paper cites TTD: Therapeutic Target Database describing target druggability information.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design TTD: Therapeutic Target Database describing target druggability information

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.463352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f35ef5-29a8-4e3e-909c-25e37d01b88e · outbound

This paper cites UniProt: the Universal Protein Knowledgebase in 2023.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design UniProt: the Universal Protein Knowledgebase in 2023

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.539152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a192f54-39ee-492e-8ca2-476a45586065 · outbound

This paper cites Integration of the Drug –Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Integration of the Drug –Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts

Reference 94

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.248142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 474fb606-2f35-4e62-aac1-d2eea456337d · outbound

This paper cites A Deep Learning Approach to Antibiotic Discovery.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design A Deep Learning Approach to Antibiotic Discovery

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:20.351461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2db4cf-fc11-48c3-a885-c4ed1edf7923 · outbound

This paper cites Deep learning– guided design of dynamic proteins.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Deep learning– guided design of dynamic proteins

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:20.489327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6892f474-26b0-4dd2-8c30-fdfeb504f1b5 · outbound

This paper cites TamGen: drug design with target-aware molecule generation through a chemical language model.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design TamGen: drug design with target-aware molecule generation through a chemical language model

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:19.993557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0266b9c-024f-4d79-b67e-770f8fc6b43d · outbound

This paper cites CAT -CPI: Combining CNN and transformer to learn compound image features for predicting compound -protein interactions.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design CAT -CPI: Combining CNN and transformer to learn compound image features for predicting compound -protein interactions

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:20.095752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 860a1342-09fc-4e04-b756-1f65a4e43fd1 · outbound

This paper cites Deep learning enables rapid identification of potent DDR1 kinase inhibitors.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Deep learning enables rapid identification of potent DDR1 kinase inhibitors

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:20.242594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed12989-e2af-4359-a2c6-b084f782b374 · outbound

This paper cites an unresolved cited work.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design Unresolved cited work

Reference 100

Resolution: verified exact; doi, observed 2026-08-02T05:33:24.000328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3aa5727f-2bcb-4e58-8727-57919c53cf58 · outbound

This paper cites The PDBbind Database: Collection of Binding Affinities for Protein −Ligand Complexes with Known Three -Dimensional Structures.

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design The PDBbind Database: Collection of Binding Affinities for Protein −Ligand Complexes with Known Three -Dimensional Structures

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:21.129871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers