Artificial intelligence goes from predicting structure to predicting stability  

作　　者：Gary J.Pielak Conggang Li Maili Liu 

机构地区：[1]Department of Chemistry,Department of Biochemistry&Biophysics,Lineberger Cancer Center,and Integrative Program for Biological and Genome Sciences,University of North Carolina at Chapel Hill,Chapel Hill,NC 27599,United States [2]Key Laboratory of Magnetic Resonance in Biological Systems,State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,National Center for Magnetic Resonance in Wuhan,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan,430071,China

出　　处：《Magnetic Resonance Letters》2025年第1期75-76,共2页磁共振快报(英文)

基　　金：supported by the U.S.National Natural Science Foundation(CHE-2203505 and MCB-2335137).

摘　　要：AlphaFold[1]has turned everyone into a structural biologist.No need for knowledge of Fourier transforms or spectral density,driven by artificial intelligence(AI),all one needs to do is enter the primary structure of a folded protein,and out pops a tertiary structure nearly as good as one from an experiment-based structure.

关 键 词：structure. STRUCTURE predicting 

分 类 号：O17[理学—数学]