A computational method for the systematic screening of reaction barriers in enzymes: Searching for Bacillus circulans xylanase mutants with greater activity towards a synthetic substrate
Martin R. Hediger, Casper Steinmann, Luca De Vico, Jan H. Jensen

TL;DR
This paper introduces a semi-empirical computational method to systematically screen enzyme mutants for improved activity, demonstrated on Bacillus circulans xylanase, identifying promising mutants for experimental validation.
Contribution
The paper presents a novel semi-empirical approach for estimating enzyme mutation effects on reaction barriers, enabling efficient mutant screening without extensive quantum calculations.
Findings
PM6 estimates align well with experimental data.
Identified mutants with significantly increased reaction barriers.
Developed a comprehensive mutant library for Bacillus circulans xylanase.
Abstract
We present a semi-empirical (PM6-based) computational method for systematically estimating the effect of all possible single mutants, within a certain radius of the active site, on the barrier height of an enzymatic reaction. The intent of this method is not a quantitative prediction of the barrier heights, but rather to identify promising mutants for further computational or experimental study. The method is applied to identify promising single and double mutants of Bacillus circulans xylanase (BCX) with increased hydrolytic activity for the artificial substrate ortho-nitrophenyl \beta-xylobioside (ONPX). The estimated reaction barrier for wild-type (WT) BCX is 18.5 kcal/mol, which is in good agreement with the experimental activation free energy value of 17.0 kcal/mol extracted from the observed k using transition state theory (Joshi et al., Biochemistry 2001, 40,…
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