Volume 34, No 9, Sep 2024

ISSN: 1001-0602 
EISSN: 1748-7838 2018 
impact factor 17.848* 
(Clarivate Analytics, 2019)

Volume 34 Issue 9, September 2024: 601-602

RESEARCH HIGHLIGHTS

AI accurately predicting the structure of biomolecular interactions

Zhenling Peng¹ , Peilong Lu^2,3,* , Jianyi Yang^1,*

¹MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, Shandong, China
²Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
³Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
Correspondence: Peilong Lu(lupeilong@westlake.edu.cn)Jianyi Yang(yangjy@sdu.edu.cn)

In two recent studies published in Nature and Science, researchers successfully developed unified AI architectures capable of predicting the structures of all biomolecules. This remarkable advancement is expected to have a profound impact on future biomedical research and drug design by offering crucial information regarding the interactions that govern both physiological and pathological processes.

https://doi.org/10.1038/s41422-024-00991-8

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