PKAD-R: Curated, Redesigned and Expanded Database of Experimental pKa Values in Proteins

Understanding pKa values in ionizable protein residues is critical for understanding fundamental protein properties, such as structure, function and interactions. We present a new version of PKAD, named PKAD-R, which is a curated database of experimentally determined protein pKa values. The database builds upon its predecessors, PKAD and PKAD-2, with significant updates and improvements through: (1) <b>careful data curation</b> to remove incorrect entries and consolidate redundant entries by offering alternative structures and pKa values for each unique residue (2) <b>database redesign</b>, to enhance its usability by adding additional information such as protein and species names, detailed notes, as well as sequence identity (3) <b>database expansion</b> through identification of 214 new (128 non-redundant) pKa entries from the literature. The database currently contains 877 unique pKa entries for wild type structures and 147 for mutant structures, however, we aim to keep updating the database with new entries. The PKAD-R database is available as a stand-alone downloadable file as well as web servers. The database is designed to provide both a set of pKa entries for unique residues suitable for machine learning applications, as well as modularity by providing alternative pKa values and structures, allowing the user to decide which entries to include.

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Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2025-02-05
DOI
https://doi.org/10.1142/s2737416525500164
Citations
3
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
2.42

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article

PKAD-R: Curated, Redesigned and Expanded Database of Experimental pKa Values in Proteins

Shailesh Kumar Panday, Ada Y. Chen, A. Damjanović, Emil Alexov et al.
3 citations
Journal of Computational Biophysics and Chemistry
Metabolomics and Mass Spectrometry Studies
2.42
article

PKAD-R: Curated, Redesigned and Expanded Database of Experimental pKa Values in Proteins

Shailesh Kumar Panday, Ada Y. Chen, A. Damjanović, Emil Alexov, Bernard R. Brooks, Kaoru Ri
article en
3 citations

Abstract

Understanding pKa values in ionizable protein residues is critical for understanding fundamental protein properties, such as structure, function and interactions. We present a new version of PKAD, named PKAD-R, which is a curated database of experimentally determined protein pKa values. The database builds upon its predecessors, PKAD and PKAD-2, with significant updates and improvements through: (1) <b>careful data curation</b> to remove incorrect entries and consolidate redundant entries by offering alternative structures and pKa values for each unique residue (2) <b>database redesign</b>, to enhance its usability by adding additional information such as protein and species names, detailed notes, as well as sequence identity (3) <b>database expansion</b> through identification of 214 new (128 non-redundant) pKa entries from the literature. The database currently contains 877 unique pKa entries for wild type structures and 147 for mutant structures, however, we aim to keep updating the database with new entries. The PKAD-R database is available as a stand-alone downloadable file as well as web servers. The database is designed to provide both a set of pKa entries for unique residues suitable for machine learning applications, as well as modularity by providing alternative pKa values and structures, allowing the user to decide which entries to include.

Journal of Computational Biophysics and ChemistryVol. 24(09)
Johns Hopkins University (US), Johns Hopkins Medicine (US), National Heart, Lung, and Blood Institute (US), Clemson University (US)
National Institutes of Health, National Heart, Lung, and Blood Institute
Zero hunger
Openalex Percentile: Top 13%
Metabolomics and Mass Spectrometry Studies
2.42
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