Evidence map›Paper›PMID 32096919›Full record

ArticleMolecular genetics & genomic medicine2020

Analysis of protein missense alterations by combining sequence- and structure-based methods.

Aram Gyulkhandanyan, Alireza R Rezaie, Lubka Roumenina, Nathalie Lagarde, Veronique Fremeaux-Bacchi, Maria A Miteva, Bruno O Villoutreix

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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.

Aram GyulkhandanyanINSERM U973, Laboratory MTi, University Paris Diderot, Paris, France.
Alireza R RezaieCardiovascular Biology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Lubka RoumeninaINSERM, UMR_S 1138, Centre de Recherche des Cordeliers, Paris, France.
Nathalie LagardeINSERM U973, Laboratory MTi, University Paris Diderot, Paris, France.
Veronique Fremeaux-BacchiINSERM, UMR_S 1138, Centre de Recherche des Cordeliers, Paris, France.
Maria A MitevaINSERM U973, Laboratory MTi, University Paris Diderot, Paris, France.
Bruno O VilloutreixINSERM U973, Laboratory MTi, University Paris Diderot, Paris, France.ORCID 0000-0002-6456-7730

Funding

Serpin Regulation of Coagulation ProteasesR01HL062565 · NHLBI · SAINT LOUIS UNIVERSITY · PI REZAIE, ALIREZA R. · 1999 to 2020
$6.2M
NHLBI NIH HHS R01 HL062565
6 · The paper itself

Abstract

backgroundDifferent types of in silico approaches can be used to predict the phenotypic consequence of missense variants. Such algorithms are often categorized as sequence based or structure based, when they necessitate 3D structural information. In addition, many other in silico tools, not dedicated to the analysis of variants, can be used to gain additional insights about the possible mechanisms at play.

methodsHere we applied different computational approaches to a set of 20 known missense variants present on different proteins (CYP, complement factor B, antithrombin and blood coagulation factor VIII). The tools that were used include fast computational approaches and web servers such as PolyPhen-2, PopMusic, DUET, MaestroWeb, SAAFEC, Missense3D, VarSite, FlexPred, PredyFlexy, Clustal Omega, meta-PPISP, FTMap, ClusPro, pyDock, PPM, RING, Cytoscape, and ChannelsDB.

resultsWe observe some conflicting results among the methods but, most of the time, the combination of several engines helped to clarify the potential impacts of the amino acid substitutions.

conclusionCombining different computational approaches including some that were not developed to investigate missense variants help to predict the possible impact of the amino acid substitutions. Yet, when the modified residues are involved in a salt-bridge, the tools tend to fail, even when the analysis is performed in 3D. Thus, interactive structural analysis with molecular graphics packages such as Chimera or PyMol or others are still needed to clarify automatic prediction.

Indexed as

Mutation, MissenseBlood Coagulation FactorsCytochrome P-450 Enzyme SystemHumansMolecular Dynamics SimulationSequence Analysis, ProteinSoftwareBlood Coagulation FactorsCytochrome P-450 Enzyme SystemAntithrombinCYPFactor BFactor VIIImissense variantsPolyPhen-2structural analysisstructural bioinformatics

Identifiers

PMID32096919
PMCPMC7196459

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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.