Revealing quantum mechanical effects in enzyme catalysis with large-scale electronic structure simulation

Enzymes have evolved to facilitate challenging reactions at ambient conditions with specificity seldom matched by other catalysts. Computational modeling provides valuable insight into catalytic mechanism, and the large size of enzymes mandates multi-scale, quantum mechanical-molecular mechanical (Q...

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Bibliographic Details
Main Authors: Yang, Zhongyue (Contributor), Mehmood, Rimsha (Contributor), Wang, Mengyi (Contributor), Qi, Helena Wen (Contributor), Steeves, Adam H. (Contributor), Kulik, Heather Janine (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor), Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Department of Materials Science and Engineering (Contributor)
Format: Article
Language:English
Published: Royal Society of Chemistry, 2019-02-04T15:31:19Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Yang, Zhongyue  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemical Engineering  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemistry  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Materials Science and Engineering  |e contributor 
100 1 0 |a Yang, Zhongyue  |e contributor 
100 1 0 |a Mehmood, Rimsha  |e contributor 
100 1 0 |a Wang, Mengyi  |e contributor 
100 1 0 |a Qi, Helena Wen  |e contributor 
100 1 0 |a Steeves, Adam H.  |e contributor 
100 1 0 |a Kulik, Heather Janine  |e contributor 
700 1 0 |a Mehmood, Rimsha  |e author 
700 1 0 |a Wang, Mengyi  |e author 
700 1 0 |a Qi, Helena Wen  |e author 
700 1 0 |a Steeves, Adam H.  |e author 
700 1 0 |a Kulik, Heather Janine  |e author 
245 0 0 |a Revealing quantum mechanical effects in enzyme catalysis with large-scale electronic structure simulation 
260 |b Royal Society of Chemistry,   |c 2019-02-04T15:31:19Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/120166 
520 |a Enzymes have evolved to facilitate challenging reactions at ambient conditions with specificity seldom matched by other catalysts. Computational modeling provides valuable insight into catalytic mechanism, and the large size of enzymes mandates multi-scale, quantum mechanical-molecular mechanical (QM/MM) simulations. Although QM/MM plays an essential role in balancing simulation cost to enable sampling with the full QM treatment needed to understand electronic structure in enzyme active sites, the relative importance of these two strategies for understanding enzyme mechanism is not well known. We explore challenges in QM/MM for studying the reactivity and stability of three diverse enzymes: i) Mg[supercript 2+]-dependent catechol O-methyltransferase (COMT), ii) radical enzyme choline trimethylamine lyase (CutC), and iii) DNA methyltransferase (DNMT1), which has structural Zn[superscript 2+] binding sites. In COMT, strong non-covalent interactions lead to long range coupling of electronic structure properties across the active site, but the more isolated nature of the metallocofactor in DNMT1 leads to faster convergence of some properties. We quantify these effects in COMT by computing covariance matrices of by-residue electronic structure properties during dynamics and along the reaction coordinate. In CutC, we observe spontaneous bond cleavage following initiation events, highlighting the importance of sampling and dynamics. We use electronic structure analysis to quantify the relative importance of CHO and OHO non-covalent interactions in imparting reactivity. These three diverse cases enable us to provide some general recommendations regarding QM/MM simulation of enzymes. 
520 |a NEC Corporation 
520 |a National Institute of Environmental Health Sciences (Grant P30-ES002109) 
520 |a Burroughs Wellcome Fund (Career Award at the Scientific Interface) 
520 |a United States. Department of Energy (Computational Science Graduate Fellowship) 
546 |a en_US 
655 7 |a Article 
773 |t Reaction Chemistry & Engineering