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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2 papers

Recent·Most cited

ImmunologybioRxivJan 19, 2023

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

W. J. Thrift, J. Perera, S. Cohen…·K. Liu

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

DOI 10.1093/bib/bbae123

proteomicsdeep learning

𝕏 PostBluesky

ImmunologybioRxivPreprintDec 8, 2022

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…·S. Jhunjhunwala

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

DOI 10.1101/2022.12.08.519673

proteomicstransformer / foundation model

𝕏 PostBluesky