Computational de novo protein design: From secondary to primary, then toward tertiary structures

被引:4
|
作者
Quan, Lijun [1 ,2 ,3 ]
Wu, Tingfang [1 ,2 ,3 ]
Lyu, Qiang [1 ,2 ,3 ]
机构
[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China
[2] Soochow Univ, Prov Key Lab Informat Proc Technol, Suzhou 215006, Peoples R China
[3] Collaborat Innovat Ctr Novel Software Technol & In, Nanjing 210000, Peoples R China
来源
CHEM | 2023年 / 9卷 / 07期
关键词
D O I
10.1016/j.chempr.2023.06.010
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Proteins are the building blocks of life, and the secondary structures of proteins are the keystones for protein functioning. In this issue of Chem, Buehler and co-workers develop deep learning models to generate de novo proteins with specified secondary structure constraints, similar to automatically constructing a functional house with given desired keystones.
引用
收藏
页码:1625 / 1627
页数:3
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