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Paper Citation Record · LEDGER

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.06760.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06760 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:09:55.401946Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • verified fuzzy34
  • unresolved9
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 232f434f-f5ca-4836-a357-49c917e11b42 · outbound

This paper cites Supervised prediction of drug--target interactions using bipartite local models.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Supervised prediction of drug--target interactions using bipartite local models

Reference 1

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T13:09:55.238874Z digest=sha256:ff758fd2806e807d5f88d93f512250cda95d9a7a362314c33bfb9b9f41d802c3

Observation 6c5aa568-90d7-4b9f-b30b-0247ef9a99ff · outbound

This paper cites Large-scale prediction of drug--target interactions using protein sequences and drug topological structures.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Large-scale prediction of drug--target interactions using protein sequences and drug topological structures

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7c5f0c3b-70fb-46af-9b8d-fa04d0e60aea · outbound

This paper cites Computational prediction of drug-target interactions using chemical, biological, and network features.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Computational prediction of drug-target interactions using chemical, biological, and network features

Reference 3

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Source-reported events for the cited work

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Observation ed3fb170-098e-4d52-a660-38b9545d078b · outbound

This paper cites Predicting drug--target interactions using probabilistic matrix factorization.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Predicting drug--target interactions using probabilistic matrix factorization

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ef913648-0b10-4316-97ed-a2071a437f8e · outbound

This paper cites Comprehensive analysis of kinase inhibitor selectivity.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Comprehensive analysis of kinase inhibitor selectivity

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c0071d88-c2ab-4a11-985f-5d4f140e532c · outbound

This paper cites The combination astemizole--gefitinib as a potential therapy for human lung cancer.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction The combination astemizole--gefitinib as a potential therapy for human lung cancer

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 535bf81e-8614-4f28-a808-c18fd0174352 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:09:55.264424Z digest=sha256:769884fcadd2d3bb999db7355000a4b99f9a313eec6b109da4bd9a1cc38e85ad

Observation ede3984e-b622-42ea-86df-ea4520e762f1 · outbound

This paper cites Innovation in the pharmaceutical industry: new estimates of r&d costs.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Innovation in the pharmaceutical industry: new estimates of r&d costs

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ca8f9ae6-a9a6-40cd-923f-8d33e2341e02 · outbound

This paper cites Repurposing cationic amphiphilic antihistamines for cancer treatment.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Repurposing cationic amphiphilic antihistamines for cancer treatment

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 919139b5-7dee-4b26-8fea-c3bd23a366e2 · outbound

This paper cites Interpretable drug target prediction using deep neural representation.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Interpretable drug target prediction using deep neural representation

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 48ec92c0-e146-459f-80d3-c8a7cd4ebe58 · outbound

This paper cites Deep reconstruction-classification networks for unsupervised domain adaptation.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Deep reconstruction-classification networks for unsupervised domain adaptation

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dc5472fd-e463-45ac-9526-5a384dc23967 · outbound

This paper cites PubChem 2019 update: improved access to chemical data.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction PubChem 2019 update: improved access to chemical data

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 060cc9f0-a696-4ccc-b093-a3c2fee8f65d · outbound

This paper cites Predicting drug--target interactions from chemical and genomic kernels using bayesian matrix factorization.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Predicting drug--target interactions from chemical and genomic kernels using bayesian matrix factorization

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.289251Z digest=sha256:2baa83bf82535df3b24ecb1fd8e1bde65ce9aae0479cad308d2345a04b7762da

Observation 75c5a436-0db3-469a-95ea-6410df57ff6d · outbound

This paper cites Concordance probability and discriminatory power in proportional hazards regression.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Concordance probability and discriminatory power in proportional hazards regression

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d146e8d1-5f97-47ea-8339-06674afcfde9 · outbound

This paper cites Simboost: a read-across approach for predicting drug--target binding affinities using gradient boosting machines.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Simboost: a read-across approach for predicting drug--target binding affinities using gradient boosting machines

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 758758e2-575c-4edc-86e4-2cf30894a26b · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Gaussian Error Linear Units (GELUs)

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 550d8ba2-8d54-4796-9987-43c73b952417 · outbound

This paper cites Review of epidermal growth factor receptor biology.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Review of epidermal growth factor receptor biology

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 555ff75a-17c9-41a8-9d14-7c611bc68bf4 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Universal Language Model Fine-tuning for Text Classification

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2df48560-250c-48e3-b2f6-966eb8f1cd00 · outbound

This paper cites Application of pretrained deep neural networks to large vocabulary speech recognition.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Application of pretrained deep neural networks to large vocabulary speech recognition

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation de83f6ae-b58c-4d0c-89b9-81a5bb284850 · outbound

This paper cites Learning to SMILE(S).

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Learning to SMILE(S)

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:55.317166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d982e782-000a-42df-b99c-a0d370d2a919 · outbound

This paper cites Rapid and sensitive protein similarity searches.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Rapid and sensitive protein similarity searches

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0723e0af-e8dc-4d5d-a673-bafb87a5726e · outbound

This paper cites Speech enhancement based on deep denoising autoencoder.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Speech enhancement based on deep denoising autoencoder

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3c12c5ba-99cc-4dae-b209-beba144cd352 · outbound

This paper cites Molecular docking for identification of potential targets for drug repurposing.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Molecular docking for identification of potential targets for drug repurposing

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9f1682f9-2cb2-4bbf-9b90-097091b26d0a · outbound

This paper cites Lapatinib: a dual inhibitor of human epidermal growth factor receptor tyrosine kinases.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Lapatinib: a dual inhibitor of human epidermal growth factor receptor tyrosine kinases

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cb1fc38c-5fd7-4c45-9177-64408873a49e · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Distributed representations of words and phrases and their compositionality

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d9a84147-10bf-4df9-81fb-d4605a45315d · outbound

This paper cites O zt \"u rk, Elif Ozkirimli, and Arzucan \.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction O zt \"u rk, Elif Ozkirimli, and Arzucan \

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 015877e0-0bc7-41f5-9acd-53fededb7f83 · outbound

This paper cites O zt \"u rk, Arzucan \.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction O zt \"u rk, Arzucan \

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0a490c5d-c335-4fb1-8b62-f160ac0d13b4 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction The pagerank citation ranking: Bringing order to the web

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:09:55.348717Z digest=sha256:0f073dfd062ef5a681ac5fdb8117878760f466898beb052fb1f46da7fd751b0b

Observation c6ef1ca6-e2b7-49da-b906-ef90b94fee0f · outbound

This paper cites Toward more realistic drug--target interaction predictions.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Toward more realistic drug--target interaction predictions

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation caf59434-8cce-4afd-b81c-f73c6b352995 · outbound

This paper cites On two novel parameters for validation of predictive qsar models.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction On two novel parameters for validation of predictive qsar models

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c5c13515-179f-4a48-bcc9-66ba485242ea · outbound

This paper cites Molecular networking as a drug discovery, drug metabolism, and precision medicine strategy.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Molecular networking as a drug discovery, drug metabolism, and precision medicine strategy

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.358265Z digest=sha256:00af61e41c01202fe2c82f9e5884eb0351fb9aa5c79a586effb4c05a452524cc

Observation e1651672-5b69-47b6-89fa-77012e49efbe · outbound

This paper cites Dex: Deep expectation of apparent age from a single image.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Dex: Deep expectation of apparent age from a single image

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.361137Z digest=sha256:cbe643d0bb7d5dd3b1e3c18e4628ef4553ad9e8e6043f8015c72bbe8028a6071

Observation 5da1bcc0-4ced-4f29-aac9-ae892cd710d3 · outbound

This paper cites Some case studies on application of “rm2” metrics for judging quality of quantitative structure--activity relationship predictions: emphasis on scaling of response data.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Some case studies on application of “rm2” metrics for judging quality of quantitative structure--activity relationship predictions: emphasis on scaling of response data

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.364443Z digest=sha256:bd9a7eded973a709e02ca733a31cf2f52e0ba6ff4f18416ec34965b9b44ed684

Observation 6cf49e3e-3faa-4013-85bb-f26575c3bceb · outbound

This paper cites Classification of radiology reports using neural attention models.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Classification of radiology reports using neural attention models

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.368138Z digest=sha256:77918c5f7a433d2c7bac83035864ea12cf3cb756845af969e2fff5185245b6d4

Observation 5ba64880-4d29-4b2e-9b46-443eef754aa8 · outbound

This paper cites Emerging functions of the egfr in cancer.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Emerging functions of the egfr in cancer

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.572774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.371915Z digest=sha256:41ade9bbaf34f9a22214963b99ac56dac1c84abc1841e358c10852ee37de7179

Observation 6881a771-2222-45ed-b892-f7ddc188a6e2 · outbound

This paper cites Osimertinib in untreated egfr-mutated advanced non--small-cell lung cancer.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Osimertinib in untreated egfr-mutated advanced non--small-cell lung cancer

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.560278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.375786Z digest=sha256:edff8bc78ed09c4bd3f242e8a62b76a6551e8287dd4ef424a3be8bf2a16c428c

Observation 0438cb8c-9e45-47e9-9711-4d20e6e49425 · outbound

This paper cites Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.548041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.379572Z digest=sha256:83a3d3f8c0b09af03ca8076b8b8e114dccbb1b319e70342907ac33db09564f8d

Observation f7061df2-ba6a-4e00-8731-f79a82e5773c · outbound

This paper cites Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:55.383369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:09:55.383369Z digest=sha256:a5501d1ef98e17a3860f6bfe8da61adc6a44f71b9c90538ced20a8f35557bf13

Observation b91d471d-90df-42c2-83c9-bcbd3110a919 · outbound

This paper cites Gaussian interaction profile kernels for predicting drug--target interaction.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Gaussian interaction profile kernels for predicting drug--target interaction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.529482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.386931Z digest=sha256:af2d3352977831c6dc275197104ffc8497eb356b4487c62b6b371ade0368c4dc

Observation 953f9177-8cf9-4630-840c-19888f456cbc · outbound

This paper cites Attention is all you need.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Attention is all you need

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:55.390671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:09:55.390671Z digest=sha256:842aa57bdbdce8a1dbdb1fb12705eed6d7092c008a25df86feaa4611b2d8b57b

Observation 665fb865-b92b-4739-a43c-1da97b0f0f93 · outbound

This paper cites Pharmacogenomics and personalized use of drugs.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Pharmacogenomics and personalized use of drugs

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.509224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.394245Z digest=sha256:c8c280d390d1a93a9817a9b37dd6672bf5facbfeb95b6874fb036e71beee5dd1

Observation 4f1b8bc4-5083-4c41-bde8-43259cc3252c · outbound

This paper cites Smiles, a chemical language and information system.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Smiles, a chemical language and information system

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:55.398173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:09:55.398173Z digest=sha256:3844745e4f4a05a23722c36cb5bb08b04d278dbe6ffcc0c9616bf214cc7ea1f7

Observation ca1c3ab2-50b8-4d45-8c57-34ce90523d68 · outbound

This paper cites Prediction of drug--target interaction networks from the integration of chemical and genomic spaces.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Prediction of drug--target interaction networks from the integration of chemical and genomic spaces

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:55.488490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:09:55.401946Z digest=sha256:2473e34acc872581b193273f30388a3c4c312c27f160ebb971ff8e4834a3d899

Pith citing papers

No inbound Pith citation observations are available.