ECOD:从实验和预测结构中整合蛋白质域的分类
R Dustin Schaeffer1, Kirill E Medvedev1, Antonina Andreeva2
1Department of Biophysics, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX, 75390-8816 USA.
Nucleic acids research
|November 20, 2024
概括
蛋白质域的进化分类 (ECOD) 现在整合了PDB和AlphaFold DB的实验和预测蛋白质结构,分类了180多万个域. 这次更新提高了域名分类的准确性,并通过与Pfam.合作减少了冗余.
科学领域:
- 结构生物学 结构生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 蛋白质域的进化分类 (ECOD) 是蛋白质域的层次分类系统.
- 之前的ECOD工作集中在蛋白质数据库 (PDB) 中实验确定的结构上.
- 预测的蛋白质结构,特别是来自AlphaFold数据库 (AFDB),为域分类提供了广泛的资源.
研究的目的:
- 从预测结构 (AFDB) 中整合蛋白质域与现有的实验结构 (PDB) 的 ECOD 分类.
- 扩大 ECOD 分类,包括来自预测蛋白质组的大规模分析的领域.
- 为了提高蛋白质域分类的准确性和减少冗余性.
主要方法:
- 来自PDB和AFDB的域名组合分类.
- 来自AFDB的48个蛋白质组的临时分类.
- 废弃了ECODf库,并采用Pfam进行F组分类.
- 将域-联体相互作用数据集成到DrugDomain数据库中.
主要成果:
- 现在,ECOD在PDB和AFDB中分类了超过100万个蛋白质的180多万个域.
- 通过与Pfam.合作,提高了分类准确性和减少冗余性.
- 最初部署的DrugDomain数据库,用于域-连接物相互作用.
结论:
- 综合ECOD分类为实验和预测蛋白质结构提供了全面的资源.
- 与Pfam的合作显著提高了域名家族分类的准确性和效率.
- 药物域数据库提供了对域-连接体相互作用的有价值的见解,并计划在未来扩展.
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