Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction | Paper Citation Record

Observation 123df928-68df-47f2-b1fd-fb77d37c676a · outbound

This paper cites Gapped sequence alignment using artificial neural networks: application to the MHC class I system.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Gapped sequence alignment using artificial neural networks: application to the MHC class I system

Reference 1

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.447595Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f7872cd-2082-4ea3-8e6c-5e3aa79cccda · outbound

This paper cites O zlem T \.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction O zlem T \

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.190017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8825175-50a7-4fb0-8f96-3fbaf6458538 · outbound

This paper cites Building trust in deep learning-based immune response predictors with interpretable explanations.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Building trust in deep learning-based immune response predictors with interpretable explanations

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.435115Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 608c1e4c-55ec-4d34-84c6-8684d8e5b22d · outbound

This paper cites Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.178638Z

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Observation 08407807-6917-4a05-ae2b-0f233ffcabcb · outbound

This paper cites Universal sentence encoder for english.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Universal sentence encoder for english

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.165095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69831ce9-dd05-4450-9da2-86a0af289585 · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Crossvit: Cross-attention multi-scale vision transformer for image classification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.153642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f776b2c-1a56-4d48-8b18-0e12f2e4a4a7 · outbound

This paper cites Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.422647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07e74de1-13f9-4098-905a-1de75da04fc3 · outbound

This paper cites Inducer-tuning: Connecting prefix-tuning and adapter-tuning.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Inducer-tuning: Connecting prefix-tuning and adapter-tuning

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.409464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e64a8ab6-5147-4889-b9f4-6b2ee2ef9222 · outbound

This paper cites an unresolved cited work.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.396934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d07fe4ef-5c6f-41eb-aa4f-a6e993b88b8d · outbound

This paper cites TransMut: a program to predict HLA-I peptide binding and optimize mutated peptides for vaccine design by the Transformer-derived self-attention model.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction TransMut: a program to predict HLA-I peptide binding and optimize mutated peptides for vaccine design by the Transformer-derived self-attention model

Reference 10

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.384119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7fd4156e-a5fd-493f-8dc5-184443c99ccf · outbound

This paper cites A transformer-based model to predict peptide--HLA class I binding and optimize mutated peptides for vaccine design.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction A transformer-based model to predict peptide--HLA class I binding and optimize mutated peptides for vaccine design

Reference 11

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.370721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9d17e84-95d6-4c95-9066-c2eec481e623 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-10T22:25:48.937939Z

Source-reported events for the cited work

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Observation 2a324649-9a43-4f87-bc1b-191e027de9a6 · outbound

This paper cites Afamitresgene autoleucel for advanced synovial sarcoma and myxoid round cell liposarcoma (SPEARHEAD-1): an international, open-label, phase 2 trial.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Afamitresgene autoleucel for advanced synovial sarcoma and myxoid round cell liposarcoma (SPEARHEAD-1): an international, open-label, phase 2 trial

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.142758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81fbafbb-d19c-4415-8884-cab9d4e7fb18 · outbound

This paper cites Reply to: The pitfalls of negative data bias for the t-cell epitope specificity challenge.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Reply to: The pitfalls of negative data bias for the t-cell epitope specificity challenge

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.131272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9c520bd-c98d-427e-8f40-1b73d241cad3 · outbound

This paper cites Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:48.948813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e8d64f-36ce-4370-b6eb-c990017ca690 · outbound

This paper cites Cross-attention is all you need: A dapting pretrained T ransformers for machine translation.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Cross-attention is all you need: A dapting pretrained T ransformers for machine translation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:48.952565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d00179-7b13-4948-8a93-76b48fca7e15 · outbound

This paper cites Thomas, Anastasia A.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Thomas, Anastasia A

Reference 17

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.119574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c18537aa-9adf-4f4c-9134-9d3b1e334b71 · outbound

This paper cites On tcr binding predictors failing to generalize to unseen peptides.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction On tcr binding predictors failing to generalize to unseen peptides

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.103807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b8b6cf1-d511-40f9-a460-dd59ff0d84e1 · outbound

This paper cites Attentive variational information bottleneck for tcr--peptide interaction prediction.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Attentive variational information bottleneck for tcr--peptide interaction prediction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.091549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78ed2ae2-62a8-43c7-9337-ed4374cb0fc5 · outbound

This paper cites pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding

Reference 20

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.079532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20ea2aaa-3ad2-4b0a-86a3-482a55dbaf3a · outbound

This paper cites Three-Year overall survival with Tebentafusp in metastatic uveal melanoma.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Three-Year overall survival with Tebentafusp in metastatic uveal melanoma

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.067277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ace17eb2-64de-4a54-98e0-175cb6574902 · outbound

This paper cites a ger, Monika Denk, Marion Richter, Leonard Anton, Lisa Marie Weber, Malte Roerden, Jens Bauer, Jonas Rieth, Marcel Wacker, Sebastian H \.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction a ger, Monika Denk, Marion Richter, Leonard Anton, Lisa Marie Weber, Malte Roerden, Jens Bauer, Jonas Rieth, Marcel Wacker, Sebastian H \

Reference 22

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.054217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f22c026-094f-4801-b8b0-3be7f0bc5f22 · outbound

This paper cites u ller, Jens Bauer, Jonas Rieth, Marcel Wacker, Sarah M. Schroeder, Naomi Hoenisch Gravel, Jonas Scheid, Melanie M \.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction u ller, Jens Bauer, Jonas Rieth, Marcel Wacker, Sarah M. Schroeder, Naomi Hoenisch Gravel, Jonas Scheid, Melanie M \

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T22:25:50.040643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 600d5d75-c6ba-4094-8c51-cb1585984889 · outbound

This paper cites Cross attention network for few-shot classification.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Cross attention network for few-shot classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.026004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec7407da-8cd4-4cfe-9378-565113fbecb4 · outbound

This paper cites o rtelmaier, Bj \.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction o rtelmaier, Bj \

Reference 25

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.345229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b9711b5-d859-48aa-9d31-5107d29b1972 · outbound

This paper cites Prediction of protein--protein interaction using graph neural networks.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Prediction of protein--protein interaction using graph neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:50.011222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4b2560f-3200-4eef-b58d-020995a44a8d · outbound

This paper cites Deep learning pan-specific model for interpretable mhc-i peptide binding prediction with improved attention mechanism.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Deep learning pan-specific model for interpretable mhc-i peptide binding prediction with improved attention mechanism

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.997137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd052424-4216-4c38-a045-814d3dcb42d9 · outbound

This paper cites CAPLA: improved prediction of protein--ligand binding affinity by a deep learning approach based on a cross-attention mechanism.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction CAPLA: improved prediction of protein--ligand binding affinity by a deep learning approach based on a cross-attention mechanism

Reference 28

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.332915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8a7af7c-2b80-4970-b512-0a5e313be413 · outbound

This paper cites Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.002645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5c8365-07ce-4dd4-86b0-e6c661a6a10b · outbound

This paper cites NetMHCpan-4.0: improved peptide--MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction NetMHCpan-4.0: improved peptide--MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.313549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e068b4e-4bb4-4f2a-87f1-2434092cbb7d · outbound

This paper cites Capsnet-mhc predicts peptide-mhc class i binding based on capsule neural networks.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Capsnet-mhc predicts peptide-mhc class i binding based on capsule neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.985497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa0b32b0-43d2-40ce-b8cc-76526c7e2ba5 · outbound

This paper cites It’s the Peptide-MHC Affinity, Stupid.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction It’s the Peptide-MHC Affinity, Stupid

Reference 32

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.300882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c2a74f4-39d3-4f5a-9ed5-0afe39706e48 · outbound

This paper cites Attention network for predicting T-cell receptor--peptide binding can associate attention with interpretable protein structural properties.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Attention network for predicting T-cell receptor--peptide binding can associate attention with interpretable protein structural properties

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.019266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a369f403-8286-4022-9a03-3e4718b5a08d · outbound

This paper cites ICAN: interpretable cross-attention network for identifying drug and target protein interactions.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction ICAN: interpretable cross-attention network for identifying drug and target protein interactions

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.288880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46877282-ed67-4cfa-9828-f48f48cb6154 · outbound

This paper cites Deep hierarchical embedding for simultaneous modeling of gpcr proteins in a unified metric space.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Deep hierarchical embedding for simultaneous modeling of gpcr proteins in a unified metric space

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.973699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d0de3a8-33f5-4535-a04b-78fecabedd86 · outbound

This paper cites Efficacy of pp65-specific TCR-T cell therapy in treating cytomegalovirus infection after hematopoietic stem cell transplantation.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Efficacy of pp65-specific TCR-T cell therapy in treating cytomegalovirus infection after hematopoietic stem cell transplantation

Reference 36

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.275828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 440d6163-75c5-4457-8861-a5eaaf6df7b8 · outbound

This paper cites Deep learning-based prediction of the T cell receptor--antigen binding specificity.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Deep learning-based prediction of the T cell receptor--antigen binding specificity

Reference 37

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.262840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e35c080-439c-4019-88d4-8cf686bd389c · outbound

This paper cites A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell data.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.961862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b5bccdf-9fbb-4f08-b41a-6d65555e9a11 · outbound

This paper cites NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCR and sequence data.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCR and sequence data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.042825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0d6413-6586-4b0d-8e4a-3cb5165bad31 · outbound

This paper cites Quantifying lymphocyte receptor diversity.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Quantifying lymphocyte receptor diversity

Reference 40

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.244066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5dddecc-1286-498c-9254-a50e4f535a30 · outbound

This paper cites FDA Approval of immunocore's first-in-class TCR therapeutic broadens depth of the T cell engager platform.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction FDA Approval of immunocore's first-in-class TCR therapeutic broadens depth of the T cell engager platform

Reference 41

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.232044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3aafd09-2b60-4e7e-bf0d-1b1e4437c975 · outbound

This paper cites NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.054089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d263da03-e49f-449f-963d-001174955bbb · outbound

This paper cites Present Yourself! By MHC Class I and MHC Class II Molecules.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Present Yourself! By MHC Class I and MHC Class II Molecules

Reference 43

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.212245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f9b82bd-c8e8-4c68-bed7-a16c404a781d · outbound

This paper cites u ller, Ina Rhee, Mahesh Yadav, Anton Dobrin, Michel Sadelain, Marta uksza, Noah Cohen, Laura Tang, Olca Basturk, Mithat G \.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction u ller, Ina Rhee, Mahesh Yadav, Anton Dobrin, Michel Sadelain, Marta uksza, Noah Cohen, Laura Tang, Olca Basturk, Mithat G \

Reference 44

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.949559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6afaa4b-779b-476a-82a2-b3eb1a1d13ea · outbound

This paper cites Multimodal cross-and self-attention network for speech emotion recognition.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Multimodal cross-and self-attention network for speech emotion recognition

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.066223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea9f28d-d87d-4108-925e-2f27065852c7 · outbound

This paper cites Cross-linked unified embedding for cross-modality representation learning.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Cross-linked unified embedding for cross-modality representation learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.937174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24ce46ad-1de1-49f6-a23b-cbc54e4f8459 · outbound

This paper cites Attention is all you need.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Attention is all you need

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.925015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7db68432-dfcf-4c3d-9875-557a57c341f7 · outbound

This paper cites Titan: T-cell receptor specificity prediction with bimodal attention networks.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Titan: T-cell receptor specificity prediction with bimodal attention networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:49.913164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e7a61b6-476b-4ef2-ae15-59647518ce3d · outbound

This paper cites Weber, Matteo S.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Weber, Matteo S

Reference 49

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.900863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa46c8ef-db21-4834-a363-a9d795981b35 · outbound

This paper cites CcBHLA: pan-specific peptide-HLA class I binding prediction via Convolutional and BiLSTM features.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction CcBHLA: pan-specific peptide-HLA class I binding prediction via Convolutional and BiLSTM features

Reference 50

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.199044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d233de64-2715-4705-9a4a-7e0a62ee4972 · outbound

This paper cites MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations

Reference 51

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.186217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a7abe3a-c1d4-41f1-b8b8-4dd420065b8c · outbound

This paper cites Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trial.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trial

Reference 52

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.757006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc75f505-80f1-41dd-95e3-40d35a367541 · outbound

This paper cites STMHCpan, an accurate Star-Transformer-based extensible framework for predicting MHC I allele binding peptides.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction STMHCpan, an accurate Star-Transformer-based extensible framework for predicting MHC I allele binding peptides

Reference 53

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.173755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7d9d41c-87f6-4f0d-952b-4665892a8b8e · outbound

This paper cites Cross on cross attention: Deep fusion transformer for image captioning.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Cross on cross attention: Deep fusion transformer for image captioning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.097836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1aec98-d72e-4eae-925f-dd3b7b52ecea · outbound

This paper cites Mapping the functional landscape of T cell receptor repertoires by single-T cell transcriptomics.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction Mapping the functional landscape of T cell receptor repertoires by single-T cell transcriptomics

Reference 55

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.160322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88af3633-645b-454d-bcf4-80da3b934dc8 · outbound

This paper cites DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

Reference 56

Resolution: verified exact; doi, observed 2026-08-10T22:25:49.146836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96a5adca-1457-4a0a-9e15-b70b6f9a1bcb · outbound

This paper cites write newline.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:49.108404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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