可扩展性
计算机科学
软件
R包
软件包
放松(心理学)
编码(集合论)
数据挖掘
算法
理论计算机科学
计算科学
程序设计语言
数据库
心理学
社会心理学
集合(抽象数据类型)
作者
Henry Kenlay,Frédéric A. Dreyer,Daniel Cutting,Daniel A. Nissley,Charlotte M. Deane
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2024-10-01
卷期号:40 (10)
被引量:10
标识
DOI:10.1093/bioinformatics/btae576
摘要
In this article, we introduce ABodyBuilder3, an improved and scalable antibody structure prediction model based on ABodyBuilder2. We achieve a new state-of-the-art accuracy in the modelling of CDR loops by leveraging language model embeddings, and show how predicted structures can be further improved through careful relaxation strategies. Finally, we incorporate a predicted Local Distance Difference Test into the model output to allow for a more accurate estimation of uncertainties.
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