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Article

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

1
Institut de Biotecnologia i Biomedicina, Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
2
Department of Molecular Medicine, USF Health Byrd Alzheimer’s Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Gaetano T. Montelione
Biomolecules 2021, 11(11), 1596; https://doi.org/10.3390/biom11111596
Received: 6 October 2021 / Revised: 22 October 2021 / Accepted: 26 October 2021 / Published: 28 October 2021
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. View Full-Text
Keywords: conditional disorder; pH; sequence analysis; protein structure; bioinformatics conditional disorder; pH; sequence analysis; protein structure; bioinformatics
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MDPI and ACS Style

Pintado-Grima, C.; Iglesias, V.; Santos, J.; Uversky, V.N.; Ventura, S. DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH. Biomolecules 2021, 11, 1596. https://doi.org/10.3390/biom11111596

AMA Style

Pintado-Grima C, Iglesias V, Santos J, Uversky VN, Ventura S. DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH. Biomolecules. 2021; 11(11):1596. https://doi.org/10.3390/biom11111596

Chicago/Turabian Style

Pintado-Grima, Carlos, Valentín Iglesias, Jaime Santos, Vladimir N. Uversky, and Salvador Ventura. 2021. "DispHScan: A Multi-Sequence Web Tool for Predicting Protein Disorder as a Function of pH" Biomolecules 11, no. 11: 1596. https://doi.org/10.3390/biom11111596

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