Evidence map›Paper›PMID 34072602›Full record

ArticleInternational journal of molecular sciences2021

Catalytic Descriptors to Investigate Catalytic Power in the Reaction of Haloalkane Dehalogenase Enzyme with 1,2-Dichloroethane.

Xin Xin, Chen Li, Delu Gao, Dunyou Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Xin XinCollege of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Chen LiCollege of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Delu GaoCollege of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Dunyou WangCollege of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID 0000-0002-5130-3488
Shandong Normal University · CN

Funding

National Natural Science Foundation of China 11774206
6 · The paper itself

Abstract

Enzymes play a fundamental role in many biological processes. We present a theoretical approach to investigate the catalytic power of the haloalkane dehalogenase reaction with 1,2-dichloroethane. By removing the three main active-site residues one by one from haloalkane dehalogenase, we found two reactive descriptors: one descriptor is the distance difference between the breaking bond and the forming bond, and the other is the charge difference between the transition state and the reactant complex. Both descriptors scale linearly with the reactive barriers, with the three-residue case having the smallest barrier and the zero-residue case having the largest. The results demonstrate that, as the number of residues increases, the catalytic power increases. The predicted free energy barriers using the two descriptors of this reaction in water are 23.1 and 24.2 kcal/mol, both larger than the ones with any residues, indicating that the water solvent hinders the reactivity. Both predicted barrier heights agree well with the calculated one at 25.2 kcal/mol using a quantum mechanics and molecular dynamics approach, and also agree well with the experimental result at 26.0 kcal/mol. This study shows that reactive descriptors can also be used to describe and predict the catalytic performance for enzyme catalysis.

Indexed as

AlgorithmsCatalysisEnzyme ActivationEthylene DichloridesHydrolasesModels, ChemicalMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationQuantum TheoryStructure-Activity Relationshipethylene dichlorideEthylene Dichlorideshaloalkane dehalogenaseHydrolasescatalytic powerenzyme catalysisnucleophilic substitution reactionreaction pathreactive descriptorSN2 reactiontransition state

Identifiers

PMID34072602
PMCPMC8197811
OpenAlexW3163982176

What OpenQuestion holds

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LicenceCC BY
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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.