DispHScan: A multi-sequence web tool for predicting protein disorder as a function of pH

Carlos Pintado-Grima, Valentín Iglesias, Jaime Santos, Vladimir N. Uversky, Salvador Ventura*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number1596
Number of pages7
JournalBiomolecules
Volume11
Issue number11
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Bioinformatics
  • Conditional disorder
  • PH
  • Protein structure
  • Sequence analysis

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