A structural homology approach for computational protein design with flexible backbone
A structural homology approach for computational protein design with flexible backbone
复制标题
具有灵活骨架的计算蛋白质设计的结构同源方法
DOI:
10.1093/bioinformatics/bty975
复制
发表时间:
2019
期刊:
影响因子:
5.8
通讯作者:
Barbe Sophie
中科院分区:
文献类型:
--
作者:
Simoncini David;Zhang Kam Y J;Schiex Thomas;Barbe Sophie
MotivationStructure-based Computational Protein design (CPD) plays a critical role in advancing the field of protein engineering. Using an all-atom energy function, CPD tries to identify amino acid sequences that fold into a target structure and ultimately perform a desired function. Energy functions remain however imperfect and injecting relevant information from known structures in the design process should lead to improved designs.ResultsWe introduce Shades, a data-driven CPD method that exploits local structural environments in known protein structures together with energy to guide sequence design, while sampling side-chain and backbone conformations to accommodate mutations. Shades (Structural Homology Algorithm for protein DESign), is based on customized libraries of non-contiguous in-contact amino acid residue motifs. We have tested Shades on a public benchmark of 40 proteins selected from different protein families. When excluding homologous proteins, Shades achieved a protein sequence recovery of 30% and a protein sequence similarity of 46% on average, compared with the PFAM protein family of the target protein. When homologous structures were added, the wild-type sequence recovery rate achieved 93%.Availability and implementationShades source code is available athttps://bitbucket.org/satsumaimo/shadesas a patch for Rosetta 3.8 with a curated protein structure database and ITEM library creation software.Supplementary informationSupplementary data are available atBioinformaticsonline.