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Keyword: gene essentiality prediction ×Clear all

1 claim from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Bioinformatics and Genomic Networks

   ProteomeLM: A proteome-scale language model enables accurate and rapid prediction of protein–protein interactions and gene essentiality across taxa

   Malbranke, Zalaffi and Bitbol · Proceedings of the National Academy of Sciences · 2026

   The authors introduce ProteomeLM, a language model trained on whole proteomes, whose attention encodes protein interactions, and build supervised models for interaction and gene essentiality prediction.

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   1. UncheckedThe paper says its proteome-scale language model screens protein interactions across a whole organism more accurately and much faster than coevolution-based methods.“Furthermore, it enables interactome-wide PPI screening that is substantially more accurate, and orders of magnitude faster, than amino acid coevolution-based methods.”