Evidence map›Paper›PMID 31154525›Full record

ArticleJournal of molecular modeling2019

A benchmark for the size of the QM system required for accurate hybrid QM/MM calculations on the metal site of the protein copper, zinc superoxide dismutase.

Raúl Mera-Adasme, Moisés Domínguez, Otoniel Denis-Alpizar

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Raúl Mera-AdasmeDepartment of Environmental Sciences, Faculty of Chemistry and Biology, University of Santiago de Chile (USACH), Av. Lib. Bernardo O'Higgins 3363, Estacion Central, Chile. raul.mera@usach.cl.
Moisés DomínguezDepartment of Environmental Sciences, Faculty of Chemistry and Biology, University of Santiago de Chile (USACH), Av. Lib. Bernardo O'Higgins 3363, Estacion Central, Chile. moises.dominguez@usach.cl.
Otoniel Denis-AlpizarInstituto de Ciencias Químicas Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, El Llano Subercaseaux 2801, San Miguel, Santiago de Chile, Chile.
Universidad Bernardo O'Higgins · CLUniversidad Autónoma de Chile · CL

Funding

CONICYT-PAI 79150043FONDECYT 11160032
6 · The paper itself

Abstract

The protein superoxide dismutase 1 (SOD1) is a copper and zinc-binding protein that has been implicated in the pathogenesis of amyotrophic lateral sclerosis (ALS). The Zn(II) binding to SOD1 is critical for the stability of the protein, and has been by itself implicated in ALS pathogenesis. Hence, the quantum mechanical (QM) study of the Zn(II)-site of SOD1 is relevant for understanding ALS. The hybrid QM-molecular mechanics (QM/MM) approach commonly employed for the QM study of proteins is highly dependent on the size of the sub-system treated quantum-mechanically. The size of the QM system also determines the computational feasibility of a given method. In the present work, we compare optimized geometries for the metal site and Zn(II) dissociation energies obtained with a QM/MM methodology employing different sizes for the QM sub-system. We find that geometries converge rapidly to RMSDs of around 0.3 Å, and fails to converge further, while a QM system of 480 atoms was required for converging the Zn(II) interaction energy of SOD1 to within 5 kcal*mol

Indexed as

Molecular Dynamics SimulationQuantum TheoryCopperMolecular ConformationProtein BindingSuperoxide DismutaseZincCopperSuperoxide DismutaseZincQMMMQM-system sizeSOD1

Identifiers

PMID31154525
OpenAlexW2947294109

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.