Predicting 3D protein structures in light of evolution

Shimon Bershtein, Daniel Kleiner, Dan Mishmar

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Recent advances in AI-based 3D protein structure prediction could help address health-related questions, but may also have far-reaching implications for evolution. Here we discuss the advantages and limitations of high-quality 3D structural predictions by AlphaFold2 in unravelling the relationship between protein properties and their impact on fitness, and emphasize the need to integrate in silico structural predictions with functional genomic studies.
Original languageEnglish
JournalNature Ecology and Evolution
DOIs
StateE-pub ahead of print - 22 Jul 2021

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