Author

Melissa Pathil

Memorial Sloan Kettering Cancer Center

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

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Immunology· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Artem StreltsoviD· 1 shared Benjamin D. GreenbaumiD· 1 shared JA Levine· 1 shared Olga LyudovykiD· 1 shared Quaid MorrisiD· 1 shared Stephen MartisiD· 1 shared Vinod BalachandraniD· 1 shared Yuval ElhanatiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Artem StreltsovORCID

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1 paper

Recent·Most cited

Ensembles of in silico structures enable T cell peptide-MHC binding prediction

Olga Lyudovyk, JA Levine, Melissa Pathil, Stephen Martis, Artem Streltsov, Zachary M. Sethna, Yuval Elhanati, Vinod Balachandran, Quaid Morris, Benjamin D. Greenbaum

The paper introduces enFoldX, a structure-based method for predicting TCR:pMHC binding using AlphaFold3 ensembles, achieving high accuracy for cognate vs. non-cognate classification.

bioRxiv · Jul 20, 2026 · PreprintImmunology