DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH

Proteins are exposed to fluctuating environmental conditions in their cellular context and during their biotechnological production. Disordered regions are susceptible to these fluctuations and may experience solvent-dependent conformational switches that affect their local dynamism and activity. In...

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Autores principales: Carlos Pintado-Grima, Valentín Iglesias, Jaime Santos, Vladimir N. Uversky, Salvador Ventura
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Lenguaje:EN
Publicado: MDPI AG 2021
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pH
Acceso en línea:https://doaj.org/article/a721b402a68b43ca97d907efc1919c9f
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spelling oai:doaj.org-article:a721b402a68b43ca97d907efc1919c9f2021-11-25T16:52:40ZDispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH10.3390/biom111115962218-273Xhttps://doaj.org/article/a721b402a68b43ca97d907efc1919c9f2021-10-01T00:00:00Zhttps://www.mdpi.com/2218-273X/11/11/1596https://doaj.org/toc/2218-273XProteins are exposed to fluctuating environmental conditions in their cellular context and during their biotechnological production. Disordered regions are susceptible to these fluctuations and may experience solvent-dependent conformational switches that affect their local dynamism and activity. In a recent study, we modeled the influence of pH in the conformational state of IDPs by exploiting a charge–hydrophobicity diagram that considered the effect of solution pH on both variables. However, it was not possible to predict context-dependent transitions for multiple sequences, precluding proteome-wide analysis or the screening of collections of mutants. In this article, we present DispHScan, the first computational tool dedicated to predicting pH-induced disorder–order transitions in large protein datasets. The DispHScan web server allows the users to run pH-dependent disorder predictions of multiple sequences and identify context-dependent conformational transitions. It might provide new insights on the role of pH-modulated conditional disorder in the physiology and pathology of different organisms. The DispHScan web server is freely available for academic users, it is platform-independent and does not require previous registration.Carlos Pintado-GrimaValentín IglesiasJaime SantosVladimir N. UverskySalvador VenturaMDPI AGarticleconditional disorderpHsequence analysisprotein structurebioinformaticsMicrobiologyQR1-502ENBiomolecules, Vol 11, Iss 1596, p 1596 (2021)
institution DOAJ
collection DOAJ
language EN
topic conditional disorder
pH
sequence analysis
protein structure
bioinformatics
Microbiology
QR1-502
spellingShingle conditional disorder
pH
sequence analysis
protein structure
bioinformatics
Microbiology
QR1-502
Carlos Pintado-Grima
Valentín Iglesias
Jaime Santos
Vladimir N. Uversky
Salvador Ventura
DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
description Proteins are exposed to fluctuating environmental conditions in their cellular context and during their biotechnological production. Disordered regions are susceptible to these fluctuations and may experience solvent-dependent conformational switches that affect their local dynamism and activity. In a recent study, we modeled the influence of pH in the conformational state of IDPs by exploiting a charge–hydrophobicity diagram that considered the effect of solution pH on both variables. However, it was not possible to predict context-dependent transitions for multiple sequences, precluding proteome-wide analysis or the screening of collections of mutants. In this article, we present DispHScan, the first computational tool dedicated to predicting pH-induced disorder–order transitions in large protein datasets. The DispHScan web server allows the users to run pH-dependent disorder predictions of multiple sequences and identify context-dependent conformational transitions. It might provide new insights on the role of pH-modulated conditional disorder in the physiology and pathology of different organisms. The DispHScan web server is freely available for academic users, it is platform-independent and does not require previous registration.
format article
author Carlos Pintado-Grima
Valentín Iglesias
Jaime Santos
Vladimir N. Uversky
Salvador Ventura
author_facet Carlos Pintado-Grima
Valentín Iglesias
Jaime Santos
Vladimir N. Uversky
Salvador Ventura
author_sort Carlos Pintado-Grima
title DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
title_short DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
title_full DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
title_fullStr DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
title_full_unstemmed DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH
title_sort disphscan: a multi-sequence web tool for predicting protein disorder as a function of ph
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/a721b402a68b43ca97d907efc1919c9f
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