Predicting 3D protein structures in light of evolution

Shimon Bershtein; Daniel Kleiner; Dan Mishmar

doi:10.1038/s41559-021-01519-8

Predicting 3D protein structures in light of evolution

Shimon Bershtein, Daniel Kleiner, Dan Mishmar

Department of Life Sciences

Research output: Contribution to journal › Article › peer-review

6 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 language	English
Pages (from-to)	1195-1198
Number of pages	4
Journal	Nature Ecology and Evolution
Volume	5
Issue number	9
DOIs	https://doi.org/10.1038/s41559-021-01519-8
State	E-pub ahead of print - 22 Jul 2021

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title = "Predicting 3D protein structures in light of evolution",

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.",

author = "Shimon Bershtein and Daniel Kleiner and Dan Mishmar",

note = "Funding Information: D.M. is funded by the Israel Science Foundation (ISF) grant 372/17 and S.B. is funded by an ISF grant 1630/15.",

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AU - Kleiner, Daniel

AU - Mishmar, Dan

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AB - 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.

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Predicting 3D protein structures in light of evolution

Abstract

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