计算机科学
蛋白质组
序列(生物学)
蛋白质折叠
竞赛(生物学)
数据科学
折叠(DSP实现)
计算生物学
机器学习
人工智能
生物
生物信息学
工程类
生态学
细胞生物学
遗传学
电气工程
作者
David T. Jones,Janet M. Thornton
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2022-01-01
卷期号:19 (1): 15-20
被引量:144
标识
DOI:10.1038/s41592-021-01365-3
摘要
The greatly improved prediction of protein 3D structure from sequence achieved by the second version of AlphaFold in 2020 has already had a huge impact on biological research, but challenges remain; the protein folding problem cannot be considered solved. We expect fierce competition to improve the method even further and new applications of machine learning to help illuminate proteomes and their many interactions.
科研通智能强力驱动
Strongly Powered by AbleSci AI