Advancing structural biology through breakthroughs in AI

被引：16

作者：

Aithani, Laksh ^{[1
]}

Alcaide, Eric ^{[1
]}

Bartunov, Sergey ^{[1
]}

Cooper, Christopher D. O. ^{[2
]}

Dore, Andrew S. ^{[2
]}

Lane, Thomas J. ^{[2
]}

Maclean, Finlay ^{[1
]}

Rucktooa, Prakash ^{[2
]}

Shaw, Robert A. ^{[1
]}

Skerratt, Sarah E. ^{[2
]}

机构：

[1] CHARM Therapeut Ltd, Stanley Bldg, 7 St Pancras Sq, London N1C 4AG, England

[2] CHARM Therapeut Ltd, B900, Babraham Res Campus, Cambridge CB22 3AT, England

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2023年 / 80卷

关键词：

Structural biology; Artificial intelligence; PREDICTION; ALIGNMENT; ACCURACY; MODEL;

D O I：

10.1016/j.sbi.2023.102601

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 past century has witnessed an exponential increase in our atomic-level understanding of molecular and cellular mecha-nisms from a structural perspective, with multiple landmark achievements contributing to the field. This, coupled with recent and continuing breakthroughs in artificial intelligence methods such as AlphaFold2, and enhanced computational power, is enabling our understanding of protein structure and function at unprecedented levels of accuracy and predictivity. Here, we describe some of the major recent advances across these fields, and describe, as these technologies coalesce, the potential to utilise our enhanced knowledge of intricate cellular and molecular systems to discover novel therapeutics to alle-viate human suffering.

引用

页数：8

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