Severe COVID-19 infection in patients with cancer is characterized by a unique pattern of immunologic dysfunction including muted adaptive immune responses. The molecular drivers of immune dysfunction in cancer patients with severe COVID-19 remain unclear, and therapeutic strategies to overcome immune dysfunction in th...
Tiffany Merlinsky, J. Rahman, Wendy Johnson et al.· medRxiv· 0 citations
FoldKit is introduced, a Python package for efficient storage and analysis of large-scale AF3 co-folding results that reduces storage requirements and facilitating programmatic access to relevant outputs, which facilitates large-scale computational studies of biomolecular interactions.
Jonathan A. Levine, M. Pathil, Samuel Nitz et al.· 0 citations
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.· Clinical Cancer Research· 0 citations
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.· Clinical Cancer Research· 0 citations
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.· bioRxiv· 1 citation
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