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一种用于加速计算酶设计中残基匹配的快速闭环算法。

A fast loop-closure algorithm to accelerate residue matching in computational enzyme design.

作者信息

Xue Jing, Huang Xiaoqiang, Lin Min, Zhu Yushan

机构信息

Department of Chemical Engineering, Tsinghua University, Beijing, 100084, People's Republic of China.

出版信息

J Mol Model. 2016 Feb;22(2):49. doi: 10.1007/s00894-016-2915-2. Epub 2016 Jan 29.

Abstract

Constructing an active site on an inert scaffold is still a challenge in chemical biology. Herein, we describe the incorporation of a Newton-direction-based fast loop-closure algorithm for catalytic residue matching into our enzyme design program ProdaMatch. This was developed to determine the sites and geometries of the catalytic residues as well as the position of the transition state with high accuracy in order to satisfy the geometric constraints on the interactions between catalytic residues and the transition state. Loop-closure results for 64,827 initial loops derived from 21 loops in the test set showed that 99.51% of the initial loops closed to within 0.05 Å in fewer than 400 iteration steps, while the large majority of the initial loops closed within 100 iteration steps. The revised version of ProdaMatch containing the novel loop-closure algorithm identified all native matches for ten scaffolds in the native active-site recapitulation test. Its high speed and accuracy when matching catalytic residues with a scaffold make this version of ProdaMatch potentially useful for scaffold selection through the incorporation of more complex theoretical enzyme models which may yield higher initial activities in de novo enzyme design.

摘要

在化学生物学中,在惰性支架上构建活性位点仍然是一项挑战。在此,我们描述了将基于牛顿方向的快速环闭合算法用于催化残基匹配纳入我们的酶设计程序ProdaMatch。开发该算法是为了高精度地确定催化残基的位点和几何形状以及过渡态的位置,以满足催化残基与过渡态之间相互作用的几何约束。从测试集中的21个环衍生出的64827个初始环的环闭合结果表明,99.51%的初始环在少于400次迭代步骤内闭合到0.05 Å以内,而绝大多数初始环在100次迭代步骤内闭合。包含新型环闭合算法的ProdaMatch修订版在天然活性位点重现测试中识别出了十个支架的所有天然匹配。它在将催化残基与支架匹配时的高速和高精度使得这个版本的ProdaMatch通过纳入更复杂的理论酶模型在从头酶设计中可能产生更高的初始活性,从而对支架选择具有潜在的实用性。

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