Evidence map›Paper›PMID 27498636›Full record

ArticleMethods in enzymology2016

Born-Oppenheimer Ab Initio QM/MM Molecular Dynamics Simulations of Enzyme Reactions.

Y Zhou, S Wang, Y Li, Y Zhang

Abstract read
In one paragraph

Article in Methods in enzymology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  13. Two symmetric arginine residues play distinct roles inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Y ZhouLaboratory of Mesoscopic Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
S WangNew York University, New York, NY, United States.
Y LiInternational Center of Quantum and Molecular Structures, and Shanghai Key Laboratory of High Temperature Superconductors, Shanghai University, Shanghai, China.
Y ZhangNew York University, New York, NY, United States; NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai, China. Electronic address: yingkai.zhang@nyu.edu.

Funding

Computational Studies of Histone ModificationsR01GM079223 · NIGMS · NEW YORK UNIVERSITY · PI ZHANG, YINGKAI · 2007 to 2016
$2.4M
NIGMS NIH HHS R01 GM079223
6 · The paper itself

Abstract

There are two key requirements for reliably simulating enzyme reactions: one is a reasonably accurate potential energy surface to describe the bond-forming/breaking process as well as to adequately model the heterogeneous enzyme environment; the other is to perform extensive sampling since an enzyme system consists of at least thousands of atoms and its energy landscape is very complex. One attractive approach to meet both daunting tasks is Born-Oppenheimer ab initio QM/MM molecular dynamics (aiQM/MM-MD) simulation with umbrella sampling. In this chapter, we describe our recently developed pseudobond Q-Chem-Amber interface, which employs a combined electrostatic-mechanical embedding scheme with periodic boundary condition and the particle mesh Ewald method for long-range electrostatics interactions. In our implementation, Q-Chem and the sander module of Amber are combined at the source code level without using system calls, and all necessary data communications between QM and MM calculations are achieved via computer memory. We demonstrate the applicability of this pseudobond Q-Chem-Amber interface by presenting two examples, one reaction in aqueous solution and one enzyme reaction. Finally, we describe our established aiQM/MM-MD enzyme simulation protocol, which has been successfully applied to study more than a dozen enzymes.

Indexed as

Molecular Dynamics SimulationQuantum TheoryAnimalsEnzymesHumansStatic ElectricityEnzymesEnzyme reactionFree energyMolecular dynamicsQM/MMSimulation

Identifiers

PMID27498636
PMCPMC4986621

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.