Article

TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction

2022-12-10

Abstract excerpt

Modeling the fitness landscape of protein sequences has historically relied on training models on family-specific sets of homologous sequences called Multiple Sequence Alignments. Many proteins are however difficult to align or have shallow alignments which limits the potential scope of alignment-based methods. Not subject to these limitations, large protein language models trained on non-aligned sequences across...

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Literature Corpus work: 4f2d1dbd-bca3-5dc9-8c21-d0e26614d7f4
DOI: 10.1101/2022.12.07.519495

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