Advances in Protein Structure Prediction

被引:0
|
作者
Wei, Cao [1 ]
Pan, Xian-ming [1 ]
机构
[1] Tsinghua Univ, Sch Life Sci, Key Lab Minist Educ Prot Sci, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
protein structure prediction; deep learning; energy function; SPACE;
D O I
10.16476/j.pibb.2023.0152
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The structure of protein is determined by the sequence, and the function of protein is determined by its structure. The advent of accurate protein structure prediction tools has created new opportunities and challenges in the fields of structural biology, structural bioinformatics, drug discovery and many other fields of life sciences. The accuracy of single-chain protein structure prediction has reached a level comparable to that of experimental methods. In this review, we provide an overview of the theoretical basis, development history, and recent advances in the field of protein structure prediction. Additionally, we discuss how the large number of predicted protein structures and artificial intelligence-based methods affect experimental structural biology. Open questions and future research directions in the field of protein structure prediction are analyzed.
引用
收藏
页码:1190 / 1194
页数:5
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