Suppr超能文献

使用可分解成对的罚分优化埋入不满足氢键的蛋白质序列。

Protein sequence optimization with a pairwise decomposable penalty for buried unsatisfied hydrogen bonds.

机构信息

Molecular Engineering & Sciences Institute, University of Washington, Seattle, Washington, United States of America.

Institute for Protein Design, University of Washington, Seattle, Washington, United States of America.

出版信息

PLoS Comput Biol. 2021 Mar 8;17(3):e1008061. doi: 10.1371/journal.pcbi.1008061. eCollection 2021 Mar.

Abstract

In aqueous solution, polar groups make hydrogen bonds with water, and hence burial of such groups in the interior of a protein is unfavorable unless the loss of hydrogen bonds with water is compensated by formation of new ones with other protein groups. For this reason, buried "unsatisfied" polar groups making no hydrogen bonds are very rare in proteins. Efficiently representing the energetic cost of unsatisfied hydrogen bonds with a pairwise-decomposable energy term during protein design is challenging since whether or not a group is satisfied depends on all of its neighbors. Here we describe a method for assigning a pairwise-decomposable energy to sidechain rotamers such that following combinatorial sidechain packing, buried unsaturated polar atoms are penalized. The penalty can be any quadratic function of the number of unsatisfied polar groups, and can be computed very rapidly. We show that inclusion of this term in Rosetta sidechain packing calculations substantially reduces the number of buried unsatisfied polar groups.

摘要

在水溶液中,极性基团与水形成氢键,因此除非与水的氢键损失得到其他蛋白质基团形成新氢键的补偿,否则这些基团埋藏在蛋白质内部是不利的。出于这个原因,在蛋白质中,没有形成氢键的“未满足”的埋置极性基团非常罕见。在蛋白质设计中,使用可分解成对的能量项来有效地表示未满足氢键的能量成本是具有挑战性的,因为一个基团是否被满足取决于其所有的相邻基团。在这里,我们描述了一种为侧链构象分配可分解成对的能量的方法,使得在组合侧链堆积之后,被埋置的不饱和极性原子会受到惩罚。该惩罚可以是未满足极性基团数量的任何二次函数,并且可以非常快速地计算。我们表明,在 Rosetta 侧链堆积计算中包含此项可以大大减少被埋置的未满足极性基团的数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d977/7971855/21b94e374ed8/pcbi.1008061.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验