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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2021
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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) |
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DOAJ |
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conditional disorder pH sequence analysis protein structure bioinformatics Microbiology QR1-502 |
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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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