Literature DB >> 35438792

patcHwork: a user-friendly pH sensitivity analysis web server for protein sequences and structures.

Mirko Schmitz1,2, Anne Schultze1,2, Raimonds Vanags3, Karsten Voigt3, Barbara Di Ventura1,2, Mehmet Ali Öztürk1,2.   

Abstract

pH regulates protein function and interactions by altering the charge of individual residues causing loss or gain of intramolecular noncovalent bonds, which may lead to structural rearrangements. While tools to analyze residue-specific charge distribution of proteins at a given pH exist, currently no tool is available to investigate noncovalent bond changes at two different pH values. To make protein pH sensitivity analysis more accessible, we developed patcHwork, a web server that combines the identification of amino acids undergoing a charge shift with the determination of affected noncovalent bonds at two user-defined pH values. At the sequence-only level, patcHwork applies the Henderson-Hasselbalch equation to determine pH-sensitive residues. When the 3D protein structure is available, patcHwork can be employed to gain mechanistic understanding of the effect of pH. This is achieved using the PDB2PQR and PROPKA tools and noncovalent bond determination algorithms. A user-friendly interface allows visualizing pH-sensitive residues, affected salt bridges, hydrogen bonds and aromatic (pi-pi and cation-pi) interactions. patcHwork can be used to identify patches, a new concept we propose of pH-sensitive residues in close proximity on the protein, which may have a major impact on function. We demonstrate the attractiveness of patcHwork studying experimentally investigated pH-sensitive proteins (https://patchwork.biologie.uni-freiburg.de/).
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2022        PMID: 35438792      PMCID: PMC9252814          DOI: 10.1093/nar/gkac252

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  39 in total

Review 1.  Progress in the prediction of pKa values in proteins.

Authors:  Emil Alexov; Ernest L Mehler; Nathan Baker; António M Baptista; Yong Huang; Francesca Milletti; Jens Erik Nielsen; Damien Farrell; Tommy Carstensen; Mats H M Olsson; Jana K Shen; Jim Warwicker; Sarah Williams; J Michael Word
Journal:  Proteins       Date:  2011-10-15

2.  Crystal structure of neoculin: insights into its sweetness and taste-modifying activity.

Authors:  Akiko Shimizu-Ibuka; Yuji Morita; Tohru Terada; Tomiko Asakura; Ken-ichiro Nakajima; So Iwata; Takumi Misaka; Hiroyuki Sorimachi; Soichi Arai; Keiko Abe
Journal:  J Mol Biol       Date:  2006-03-29       Impact factor: 5.469

3.  Acid-induced sweetness of neoculin is ascribed to its pH-dependent agonistic-antagonistic interaction with human sweet taste receptor.

Authors:  Ken-ichiro Nakajima; Yuji Morita; Ayako Koizumi; Tomiko Asakura; Tohru Terada; Keisuke Ito; Akiko Shimizu-Ibuka; Jun-ichi Maruyama; Katsuhiko Kitamoto; Takumi Misaka; Keiko Abe
Journal:  FASEB J       Date:  2008-02-08       Impact factor: 5.191

Review 4.  Protein ionizable groups: pK values and their contribution to protein stability and solubility.

Authors:  C Nick Pace; Gerald R Grimsley; J Martin Scholtz
Journal:  J Biol Chem       Date:  2009-01-21       Impact factor: 5.157

Review 5.  Considering protonation as a posttranslational modification regulating protein structure and function.

Authors:  André Schönichen; Bradley A Webb; Matthew P Jacobson; Diane L Barber
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

6.  Identification of multiple substrate binding sites in SLC4 transporters in the outward-facing conformation: insights into the transport mechanism.

Authors:  Hristina R Zhekova; Alexander Pushkin; Gülru Kayık; Liyo Kao; Rustam Azimov; Natalia Abuladze; Debra Kurtz; Mirna Damergi; Sergei Noskov; Ira Kurtz
Journal:  J Biol Chem       Date:  2021-04-28       Impact factor: 5.157

7.  Graphical analysis of pH-dependent properties of proteins predicted using PROPKA.

Authors:  Michał Rostkowski; Mats H M Olsson; Chresten R Søndergaard; Jan H Jensen
Journal:  BMC Struct Biol       Date:  2011-01-26

8.  Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics.

Authors:  Max Hebditch; Jim Warwicker
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

9.  PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations.

Authors:  Todd J Dolinsky; Paul Czodrowski; Hui Li; Jens E Nielsen; Jan H Jensen; Gerhard Klebe; Nathan A Baker
Journal:  Nucleic Acids Res       Date:  2007-05-08       Impact factor: 16.971

10.  The RING 2.0 web server for high quality residue interaction networks.

Authors:  Damiano Piovesan; Giovanni Minervini; Silvio C E Tosatto
Journal:  Nucleic Acids Res       Date:  2016-05-19       Impact factor: 16.971

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