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

JOURNAL OF CHEMINFORMATICS(2023)

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摘要
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.
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关键词
PDB,RDKit,Ligand,Protein structure,Python,CCD,Covalently Linked Components,CLC,PRD,BIRD,PDBx/mmCIF
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