Evidence map›Paper›PMID 29511990›Full record

ArticleCell biochemistry and biophysics2018

On the Regularities of the Polar Profiles of Proteins Related to Ebola Virus Infection and their Functional Domains.

Carlos Polanco, José Lino Samaniego Mendoza, Thomas Buhse, Vladimir N Uversky, Ingrid Paola Bañuelos Chao, Marcela Angola Bañuelos Cedano, Fernando Michel Tavera, Daniel Michel Tavera, Manuel Falconi, Abelardo Vela Ponce de León

Open access · greenAbstract read
In one paragraph

Article in Cell biochemistry and biophysics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 3 countries.

Carlos PolancoDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico. polanco@unam.mx.ORCID http://orcid.org/0000-0003-1673-2006
José Lino Samaniego MendozaDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Thomas BuhseCentro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, Av. Universidad 1001, Chamilpa, Cuernavaca, 62209, Mexico.
Vladimir N UverskyDepartment of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Blvd. MDC07, Tampa, FL, 33647, USA.
Ingrid Paola Bañuelos ChaoDepartment of Odontology, Faculty of Medicine (Iztacala Campus), Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Marcela Angola Bañuelos CedanoDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Fernando Michel TaveraDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Daniel Michel TaveraDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Manuel FalconiDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Abelardo Vela Ponce de LeónDepartment of Mathematics, Faculty of Sciences, Universidad Nacional Autonoma de México, Av. Universidad 3000, México City, 04510, Mexico.
Universidad Nacional Autónoma de México · MXUniversidad Autónoma del Estado de Morelos · MXUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of fatalities and economic losses caused by the Ebola virus infection across the planet culminated in the havoc that occurred between August and November 2014. However, little is known about the molecular protein profile of this devastating virus. This work represents a thorough bioinformatics analysis of the regularities of charge distribution (polar profiles) in two groups of proteins and their functional domains associated with Ebola virus disease: Ebola virus proteins and Human proteins interacting with Ebola virus. Our analysis reveals that a fragment exists in each of these proteins-one named the "functional domain"-with the polar profile similar to the polar profile of the protein that contains it. Each protein is formed by a group of short sub-sequences, where each fragment has a different and distinctive polar profile and where the polar profile between adjacent short sub-sequences changes orderly and gradually to coincide with the polar profile of the whole protein. When using the charge distribution as a metric, it was observed that it effectively discriminates the proteins from their functional domains. As a counterexample, the same test was applied to a set of synthetic proteins built for that purpose, revealing that any of the regularities reported here for the Ebola virus proteins and human proteins interacting with Ebola virus were not present in the synthetic proteins. Our results indicate that the polar profile of each protein studied and its corresponding functional domain are similar. Thus, when building each protein from its functional domai-adding one amino acid at a time and plotting each time its polar profile-it was observed that the resulting graphs can be divided into groups with similar polar profiles.

Indexed as

Computational BiologyDatabases, ProteinEbolavirusHemorrhagic Fever, EbolaHumansIntrinsically Disordered ProteinsMembrane Transport ProteinsModels, TheoreticalViral ProteinsIntrinsically Disordered ProteinsMembrane Transport ProteinsViral ProteinsEbola virus diseaseEbola virus proteinsFunctional domainsHuman proteins interacting with Ebola virusProteinsProteomicsStructural BioinformaticsSynthetic proteins

Identifiers

PMID29511990
PMCPMC7090660
OpenAlexW2793595078

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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.