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Author

S. Martis

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Jul 2026

Abstract PR004: enFoldX: AI classification of AlphaFold3-derived structural ensembles enables T cell specificity prediction

An ensemble approach (enFoldX) that leverages structure prediction models such as AlphaFold3 to build sensitive binding predictors and outperforms the current co-folding methods which rely on predictions from the single top ranked structure.

O. Lyudovyk, Jonathan A. Levine, M. Pathil et al. · 0 citations
Jul 2026

Abstract A028: enFoldX: AI classification of AlphaFold3-derived structural ensembles enables T cell specificity prediction

An ensemble approach (enFoldX) that leverages structure prediction models such as AlphaFold3 to build sensitive binding predictors and outperforms the current co-folding methods which rely on predictions from the single top ranked structure.

O. Lyudovyk, Jonathan A. Levine, M. Pathil et al. · 0 citations
Open access Jul 2026

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

Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major histocompatibility complex (pMHC). Accurate prediction of TCR:pMHC binding pairs from sequence data remains a longstanding challenge in computational immunology, limiting the development of precision immunotherapies like ca...

O. Lyudovyk, JA Levine, M. Pathil et al. · 1 citation

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