Evidence map›Paper›PMID 27885336›Full record

ArticleCatalysts (Basel, Switzerland)2016

Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools.

Chia-En A Chang, Yu-Ming M Huang, Leonard J Mueller, Wanli You

Abstract read
In one paragraph

Article in Catalysts (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Protein conformational switch discerned via network centrality properties.Computational and structural biotechnology journal · 2021
    Article
  7. 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.

Chia-En A ChangDepartment of Chemistry, University of California, Riverside, CA 92521, USA.
Yu-Ming M HuangDepartment of Chemistry, University of California, Riverside, CA 92521, USA.
Leonard J MuellerDepartment of Chemistry, University of California, Riverside, CA 92521, USA.
Wanli YouDepartment of Chemistry, University of California, Riverside, CA 92521, USA.

Funding

Chemically-Rich Structure and Dynamics in the Active Site of Tryptophan SynthaseR01GM097569 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI MUELLER, LEONARD J · 2011 to 2020
$2.9M
Next-Generation GPU Computing Resource for Simulating Ligand-Protein Binding Kinetics/MechanismR01GM109045 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHANG, CHIA-EN · 2014 to 2023
$2.8M
Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NIGMS NIH HHS R01 GM097569NIGMS NIH HHS R01 GM109045NIH HHS S10 OD016290
6 · The paper itself

Abstract

This review discusses the use of molecular modeling tools, together with existing experimental findings, to provide a complete atomic-level description of enzyme dynamics and function. We focus on functionally relevant conformational dynamics of enzymes and the protonation states of substrates. The conformational fluctuations of enzymes usually play a crucial role in substrate recognition and catalysis. Protein dynamics can be altered by a tiny change in a molecular system such as different protonation states of various intermediates or by a significant perturbation such as a ligand association. Here we review recent advances in applying atomistic molecular dynamics (MD) simulations to investigate allosteric and network regulation of tryptophan synthase (TRPS) and protonation states of its intermediates and catalysis. In addition, we review studies using quantum mechanics/molecular mechanics (QM/MM) methods to investigate the protonation states of catalytic residues of β-Ketoacyl ACP synthase I (KasA). We also discuss modeling of large-scale protein motions for HIV-1 protease with coarse-grained Brownian dynamics (BD) simulations.

Indexed as

calculationenergyforce fieldsubstrate binding

Identifiers

PMID27885336
PMCPMC5119520

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Registered trials

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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.