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合理的蛋白质工程与工业应用:通过同源性进行结构预测以及对具有改善“洗涤性能”的蛋白质变体进行合理设计——嗜碱芽孢杆菌碱性蛋白酶

Rational protein engineering and industrial application: structure prediction by homology and rational design of protein-variants with improved 'washing performance'--the alkaline protease from Bacillus alcalophilus.

作者信息

Aehle W, Sobek H, Amory A, Vetter R, Wilke D, Schomburg D

机构信息

Gesellschaft für Biotechnologische Forschung (GBF), Braunschweig, Germany.

出版信息

J Biotechnol. 1993 Mar;28(1):31-40. doi: 10.1016/0168-1656(93)90123-5.

DOI:10.1016/0168-1656(93)90123-5
PMID:7763523
Abstract

The successful attempt is presented to engineer an enzyme with respect to its technical application by the use of computer-aided protein design techniques. Based on a modeled 3-D structure a number of mutants of a subtilisin-like protease was designed with the aim to increase its washing performance. The model of the highly alkaline subtilisin protease OPTICLEAN from Bacillus alcalophilus was developed by the process of 'modeling by homology' starting with the structure of subtilisin Carlsberg 1CSE.BRK from the Brookhaven protein databank. Amino acid changes and deletions were performed with the graphic protein design program BRAGI. Force field calculations and molecular dynamic simulations were made with AMBER 3.0. The comparison of the model and the later solved X-ray structure of OPTICLEAN shows a high similarity between the two structures. On the other hand, interesting deviations between the two structures were observed in some external loop regions. The comparison shows that the deviations are due to difficulties in the prediction of correct main chain torsion angles of additional prolines and the selection of correct loops in deletion or insertion regions.

摘要

本文介绍了通过使用计算机辅助蛋白质设计技术,在酶的技术应用方面进行成功尝试的过程。基于一个建模的三维结构,设计了多种枯草杆菌蛋白酶样蛋白酶的突变体,目的是提高其洗涤性能。从布鲁克海文蛋白质数据库中枯草杆菌蛋白酶卡尔伯格1CSE.BRK的结构出发,通过“同源建模”过程,构建了嗜碱芽孢杆菌的高碱性枯草杆菌蛋白酶OPTICLEAN的模型。使用图形化蛋白质设计程序BRAGI进行氨基酸的改变和缺失操作。使用AMBER 3.0进行力场计算和分子动力学模拟。OPTICLEAN模型与后来解析出的X射线结构的比较表明,这两种结构高度相似。另一方面,在一些外部环区观察到这两种结构之间存在有趣的偏差。比较结果表明,这些偏差是由于预测额外脯氨酸正确的主链扭转角以及在缺失或插入区域选择正确环区存在困难所致。

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