Evidence map›Paper›PMID 26499499›Full record

ArticleJournal of molecular modeling2015

Molecular modeling studies demonstrate key mutations that could affect the ligand recognition by influenza AH1N1 neuraminidase.

Gema L Ramírez-Salinas, J García-Machorro, Miguel Quiliano, Mirko Zimic, Verónica Briz, Saul Rojas-Hernández, J Correa-Basurto

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2015. 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
0.2field-weighted citation impact, top 41% 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, 5 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

7 authors at 3 institutions in 3 countries.

Gema L Ramírez-SalinasLaboratorio de Modelado Molecular y Bioinformática, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, México City, Mexico.
J García-MachorroLaboratorio de Medicina de Conservación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico, DF, 11340, México.
Miguel QuilianoUnidad de Bioinformática y Biología Molecular, Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Perú
Mirko ZimicUnidad de Bioinformática y Biología Molecular, Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Perú
Verónica BrizUnidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, España.
Saul Rojas-HernándezLaboratory of Immunology, School of Medicine, National Polytechnic Institute, Mexico, DF, Mexico.
J Correa-BasurtoLaboratorio de Modelado Molecular y Bioinformática, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, México City, Mexico. corrjose@gmail.com.
Instituto Politécnico Nacional · MXUniversidad Peruana Cayetano Heredia · PECentro Nacional de Microbiologia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to identify neuraminidase (NA) residue mutants from human influenza AH1N1 using sequences from 1918 to 2012. Multiple alignment studies of complete NA sequences (5732) were performed. Subsequently, the crystallographic structure of the 1918 influenza (PDB ID: 3BEQ-A) was used as a wild-type structure and three-dimensional (3-D) template for homology modeling of the mutated selected NA sequences. The 3-D mutated NAs were refined using molecular dynamics (MD) simulations (50 ns). The refined 3-D models were used to perform docking studies using oseltamivir. Multiple sequence alignment studies showed seven representative mutations (A232V, K262R, V263I, T264V, S367L, S369N, and S369K). MD simulations applied to 3-D NAs showed that each NA had different active-site shapes according to structural surface visualization and docking results. Moreover, Cartesian principal component analyses (cPCA) show structural differences among these NA structures caused by mutations. These theoretical results suggest that the selected mutations that are located outside of the active site of NA could affect oseltamivir recognition and could be associated with resistance to oseltamivir.

Indexed as

Amino Acid SequenceBinding SitesInfluenza A Virus, H1N1 SubtypeLigandsModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationNeuraminidasePoint MutationPrincipal Component AnalysisProtein Structure, TertiaryViral ProteinsLigandsNeuraminidaseViral ProteinsDockingInfluenza A H1N1Molecular dynamics simulationsMutationsNeuraminidase

Identifiers

PMID26499499
OpenAlexW1865836353

What OpenQuestion holds

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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.