Non-Electrostatic Basis for an Artificial Metalloenzyme Catalysis

Author:

Mukherjee Anagh,Roy Subhendu

Abstract

ABSTRACTThe artificial metalloenzyme (referred to asIr-Q) reported by Hartwig and coworkers presented an important milestone in merging the extraordinary efficiency of biocatalyst with the versatility of small molecule chemical catalyst in catalyzing a new-to-nature carbene insertion reaction. The artificial enzyme results from formal replacement of the Fe by an Ir(Me) moiety along with four C317G, T213G, L69V, V254L mutations in a natural Cytochrome enzyme CYP119 by directed evolution method. Importantly, this is a show-stopper enzyme as it exhibits a catalytic rate enhancement similar to that of natural enzymes. Despite this remarkable discovery, there is no mechanistic understanding as to why it displays extraordinary efficiency, so far been intractable to experimental methods. In this study, we have deciphered the ‘catalytically active conformation’ ofIr-Qusing large-scale molecular dynamics simulations and rigorous quantum chemical calculations. Our study reveals how directed evolution mutations precisely position the cofactor-substrate in an unusual orientation within a reshaped active site that emerged during evolution and fostered by C−H…π interactions from more ordered mutated L69V and V254L residues. This productive conformation correctly reproduces the experimental barrier height and the catalytic effect of 2.7 kcal/mol, in excellent agreement with observed rate enhancement. Moreover, the active conformation features an unprecedented bonding interaction in a metal-carbene species that preferentially stabilizes the rate determining formation of an Iridium-Porphyrin Carbene intermediate to render the observed high catalytic rate acceleration. While the electrostatic criteria are widely established, this study suggests a new design paradigm towards realization of fully programmable protein catalysis.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3