patcHwork: A user-friendly pH sensitivity analysis web server for protein sequences and structures
Mirko SchmitziD, Anne Schultze, Raimonds Vanags, Karsten Voigt, Barbara Di VenturaiD, Mehmet Ali ÖztürkiD
Abstract
pH regulates protein function and interactions by altering the charge of individual residues causing the loss or gain of intra-molecular non-covalent bonds, which may additionally lead to structural rearrangements. While tools to analyze residue-specific charge distribution of protein sequences and structures at a given pH exist, currently no tool is available to investigate non-covalent bond changes at two different pH values. In an effort to make protein pH sensitivity analysis more accessible to researchers without computational structural biology background, we developed patcHwork, a web server that combines the identification of amino acids undergoing a charge shift with the determination of affected non-covalent 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 a deeper mechanistic understanding of the effect of pH on a protein of interest. This is achieved using the PDB2PQR and PROPKA tools and non-covalent bond determination algorithms. A user-friendly interface allows visualizing pH-sensitive residues as well as affected salt bridges, hydrogen bonds and aromatic (pi-pi and cation-pi) interactions. Importantly, patcHwork can be used to identify patches, a new concept we propose of pH-sensitive residues in close proximity on the protein structure, which may have a major impact on function. We demonstrate the attractiveness of patcHwork studying experimentally investigated pH-sensitive proteins. (Access:https://patchwork.biologie.uni-freiburg.de/) Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/478804v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@df873eorg.highwire.dtl.DTLVardef@12815a4org.highwire.dtl.DTLVardef@a4d718org.highwire.dtl.DTLVardef@256c10_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- FWCI
- 0.49
- Field percentile
- top 47%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Electrostatic effects in proteins are governed by pH-redistribution of the conformational ensemble
C. M. Kougentakis, A. Majumdar, B. Garcia-Moreno E.·bioRxiv·Feb 2, 2020
- Quantifying charge state heterogeneity for proteins with multiple ionizable residues
M. J. Fossat, A. E. Posey, R. V. Pappu·bioRxiv·Aug 31, 2021
- Surface electrostatic networks control hydrophobic core remodeling in a pH-dependent switching protein
Iain MH McDonald, Luis Benito Pérez Socas, … Elizabeth M. Meiering·bioRxiv·Jul 16, 2026
- Computational investigation suggests that the cell adhesion sub-proteome is enriched for sites of pH-dependence and charge burial, whilst some key intracellular pathways may be shielded from pH fluctuations.
Shalaw R. Sallah, Jim Warwicker·bioRxiv·Jul 30, 2025
- Computational investigation of mechanisms for pH modulation of human chloride channels
K. Elverson, S. Freeman, … J. Warwicker·bioRxiv·Oct 3, 2022
- MPKaDB: A pKa Database for Exploring pH Dependence in Membrane Proteins
Jiahao He, Yansheng Chen, … Yandong Huang·bioRxiv·Nov 14, 2025