PDBe CCDUtils: an RDKit-based toolkit for handling and analysing small molecules in the Protein Data Bank

While the Protein Data Bank (PDB) contains a wealth of structural information on ligands bound to macromolecules, their analysis can be challenging due to the large amount and diversity of data. Here, we present PDBe CCDUtils, a versatile toolkit for processing and analysing small molecules from the...

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Veröffentlicht in:Journal of cheminformatics Jg. 15; H. 1; S. 117 - 11
Hauptverfasser: Kunnakkattu, Ibrahim Roshan, Choudhary, Preeti, Pravda, Lukas, Nadzirin, Nurul, Smart, Oliver S., Yuan, Qi, Anyango, Stephen, Nair, Sreenath, Varadi, Mihaly, Velankar, Sameer
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 02.12.2023
BioMed Central Ltd
Springer Nature B.V
BMC
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ISSN:1758-2946, 1758-2946
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Zusammenfassung:While the Protein Data Bank (PDB) contains a wealth of structural information on ligands bound to macromolecules, their analysis can be challenging due to the large amount and diversity of data. Here, we present PDBe CCDUtils, a versatile toolkit for processing and analysing small molecules from the PDB in PDBx/mmCIF format. PDBe CCDUtils provides streamlined access to all the metadata for small molecules in the PDB and offers a set of convenient methods to compute various properties using RDKit, such as 2D depictions, 3D conformers, physicochemical properties, scaffolds, common fragments, and cross-references to small molecule databases using UniChem. The toolkit also provides methods for identifying all the covalently attached chemical components in a macromolecular structure and calculating similarity among small molecules. By providing a broad range of functionality, PDBe CCDUtils caters to the needs of researchers in cheminformatics, structural biology, bioinformatics and computational chemistry. Graphical Abstract
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ISSN:1758-2946
1758-2946
DOI:10.1186/s13321-023-00786-w