Computational Biology Program, The University of Kansas, Lawrence, KS 66047, USA.
Centre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, South Kensington, London SW7 2AZ, UK.
J Mol Biol. 2022 Jun 15;434(11):167608. doi: 10.1016/j.jmb.2022.167608. Epub 2022 Apr 27.
Rapid progress in structural modeling of proteins and their interactions is powered by advances in knowledge-based methodologies along with better understanding of physical principles of protein structure and function. The pool of structural data for modeling of proteins and protein-protein complexes is constantly increasing due to the rapid growth of protein interaction databases and Protein Data Bank. The GWYRE (Genome Wide PhYRE) project capitalizes on these developments by advancing and applying new powerful modeling methodologies to structural modeling of protein-protein interactions and genetic variation. The methods integrate knowledge-based tertiary structure prediction using Phyre2 and quaternary structure prediction using template-based docking by a full-structure alignment protocol to generate models for binary complexes. The predictions are incorporated in a comprehensive public resource for structural characterization of the human interactome and the location of human genetic variants. The GWYRE resource facilitates better understanding of principles of protein interaction and structure/function relationships. The resource is available at http://www.gwyre.org.
蛋白质及其相互作用的结构建模的快速发展得益于基于知识的方法的进步,以及对蛋白质结构和功能的物理原理的更好理解。由于蛋白质相互作用数据库和蛋白质数据库的快速增长,用于蛋白质和蛋白质-蛋白质复合物建模的结构数据不断增加。GWYRE(全基因组 PhYRE)项目通过推进和应用新的强大建模方法,利用这些进展来进行蛋白质-蛋白质相互作用和遗传变异的结构建模。这些方法整合了使用 Phyre2 的基于知识的三级结构预测和使用全结构比对协议的基于模板的对接的四级结构预测,以生成二元复合物的模型。这些预测被纳入一个综合的公共资源中,用于人类相互作用组的结构特征描述和人类遗传变异的定位。GWYRE 资源有助于更好地理解蛋白质相互作用和结构/功能关系的原理。该资源可在 http://www.gwyre.org 上获得。