Author

W. J. Thrift

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

J. Chen· 2 shared K. Liu· 2 shared S. Jhunjhunwala· 2 shared A. Heidersbach· 1 shared A.-H. Capietto· 1 shared A.-J. Tong· 1 shared B. Haley· 1 shared C. Blanchette· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersImmunology

J. Chen

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Author profile →

2 papers

Recent·Most cited

Graph-pMHC: Graph Neural Network Approach to MHC Class II Peptide Presentation and Antibody Immunogenicity

W. J. Thrift, J. Perera, S. Cohen, N. Lounsbury, H. Gurung, C. Rose, J. Chen, S. Jhunjhunwala, K. Liu

The paper introduces graph-pMHC, a graph neural network for predicting MHC Class II peptide presentation and improves antibody immunogenicity risk prediction.

bioRxiv · Jan 19, 2023Immunology

HLApollo: A superior transformer model for pan-allelic peptide-MHC-I presentation prediction, with diverse negative coverage, deconvolution and protein language features.

W. J. Thrift, N. W. Lounsbury, Q. Broadwell, A. Heidersbach, E. Freund, Q. Phung, Y. Abdolazimi, J. Chen, A.-H. Capietto, A.-J. Tong, C. M. Rose, C. Blanchette, J. Lill, B. Haley, L. Delamarre, , S. Jhunjhunwala

HLApollo improves MHC-I peptide presentation prediction with a transformer model, showing better performance than existing methods and offering pan-allelic generalization.

bioRxiv · Dec 8, 2022 · PreprintImmunology