Suppr超能文献

一个针对蛋白质常见翻译后修饰的精选旋转异构体文库。

A curated rotamer library for common post-translational modifications of proteins.

作者信息

Zhang Oufan, Naik Shubhankar A, Liu Zi Hao, Forman-Kay Julie, Head-Gordon Teresa

机构信息

Kenneth S. Pitzer Center for Theoretical Chemistry, University of California, Berkeley, CA 94720, United States.

Department of Chemistry, University of California, Berkeley, CA 94720, United States.

出版信息

Bioinformatics. 2024 Jul 1;40(7). doi: 10.1093/bioinformatics/btae444.

Abstract

MOTIVATION

Sidechain rotamer libraries of the common amino acids of a protein are useful for folded protein structure determination and for generating ensembles of intrinsically disordered proteins (IDPs). However, much of protein function is modulated beyond the translated sequence through the introduction of post-translational modifications (PTMs).

RESULTS

In this work, we have provided a curated set of side chain rotamers for the most common PTMs derived from the RCSB PDB database, including phosphorylated, methylated, and acetylated sidechains. Our rotamer libraries improve upon existing methods such as SIDEpro, Rosetta, and AlphaFold3 in predicting the experimental structures for PTMs in folded proteins. In addition, we showcase our PTM libraries in full use by generating ensembles with the Monte Carlo Side Chain Entropy (MCSCE) for folded proteins, and combining MCSCE with the Local Disordered Region Sampling algorithms within IDPConformerGenerator for proteins with intrinsically disordered regions.

AVAILABILITY AND IMPLEMENTATION

The codes for dihedral angle computations and library creation are available at https://github.com/THGLab/ptm_sc.git.

摘要

动机

蛋白质常见氨基酸的侧链旋转异构体文库对于确定折叠蛋白质结构以及生成内在无序蛋白质(IDP)的集合很有用。然而,蛋白质的许多功能是通过引入翻译后修饰(PTM)在翻译序列之外进行调节的。

结果

在这项工作中,我们从RCSB PDB数据库中提供了一组经过整理的最常见PTM的侧链旋转异构体,包括磷酸化、甲基化和乙酰化侧链。我们的旋转异构体文库在预测折叠蛋白质中PTM的实验结构方面比现有方法如SIDEpro、Rosetta和AlphaFold3有所改进。此外,我们通过为折叠蛋白质生成蒙特卡罗侧链熵(MCSCE)集合,并将MCSCE与IDPConformerGenerator中的局部无序区域采样算法相结合,充分展示了我们的PTM文库,用于具有内在无序区域的蛋白质。

可用性和实现

二面角计算和文库创建的代码可在https://github.com/THGLab/ptm_sc.git获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4c/11254353/cdc009a74fb5/btae444f6.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验