Protein fitness prediction with language models

2026/07/13 by Tong Wang
Biochemistry, Genetics and Molecular Biology · Social Sciences · #Bioinformatics and Genomic Networks #Computational model #Language and cultural evolution #Language model #Machine Learning in Bioinformatics #Multiple Models #Predictive modelling #Protein structure prediction #Scaling

paper · doi:10.1038/s43588-026-01011-y

published in Nature Computational Science 6(7), 680-681 (Nature Portfolio)

openalex publication_date 2026/07/13 · openalex created_date 2026/07/14 · openalex updated_date 2026/07/23

Abstract

Nature Computational Science, Published online: 13 July 2026; doi:10.1038/s43588-026-01011-y Protein language models are powerful computational tools for protein fitness prediction. The recent investigation into the relationship between model outputs and prediction accuracy reveals the scaling behavior of such models and provides practical guidelines for their applications to fitness prediction.

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