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Predicting 3D protein structures in light of evolution
Nature Ecology & Evolution ( IF 13.9 ) Pub Date : 2021-07-22 , DOI: 10.1038/s41559-021-01519-8
Shimon Bershtein 1 , Daniel Kleiner 1 , Dan Mishmar 1
Affiliation  

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.

中文翻译:

根据进化预测 3D 蛋白质结构

基于人工智能的 3D 蛋白质结构预测的最新进展可能有助于解决与健康相关的问题,但也可能对进化产生深远的影响。在这里,我们讨论了 AlphaFold2 高质量 3D 结构预测在阐明蛋白质特性之间的关系及其对适应性的影响方面的优势和局限性,并强调需要将计算机结构预测与功能基因组研究相结合。
更新日期:2021-07-22
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