期刊
PROTEIN SCIENCE
卷 31, 期 11, 页码 -出版社
WILEY
DOI: 10.1002/pro.4466
关键词
CAID; critical assessment; intrinsically disordered proteins; machine learning; protein structure; structural bioinformatics
资金
- European Union's Horizon 2020
- Marie Sklodowska-Curie [778247]
- Italian Ministry of University and Research [2017483NH8]
- ELIXIR
AlphaFoldDB offers a fresh perspective on IDR prediction and demonstrates the plasticity of the disorder to structure continuum.
Intrinsically disordered regions (IDRs) defying the traditional protein structure-function paradigm have been difficult to analyze. The availability of accurate structure predictions on a large scale in AlphaFoldDB offers a fresh perspective on IDR prediction. Here, we establish three baselines for IDR prediction from AlphaFoldDB models based on the recent CAID dataset. Surprisingly, AlphaFoldDB is highly competitive for predicting both IDRs and conditionally folded binding regions, demonstrating the plasticity of the disorder to structure continuum.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据