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

页码：1625 / 1627

页数：3

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