Q-BioLiP: A Comprehensive Resource for Quaternary Structure-based Protein-ligand Interactions
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Since its establishment in 2013, BioLiP has become one of the widely used resources for protein-ligand interactions. Nevertheless, several known issues occurred with it over the past decade. For example, the protein-ligand interactions are represented in the form of single chain-based tertiary structures, which may be inappropriate as many interactions involve multiple protein chains (known as quaternary structures). We sought to address these issues, resulting in Q-BioLiP, a comprehensive resource for quaternary structure-based protein-ligand interactions. The major features of Q-BioLiP include: (1) representing protein structures in the form of quaternary structures rather than single chain-based tertiary structures; (2) pairing DNA/RNA chains properly rather than separation; (3) providing both experimental and predicted binding affinities; (4) retaining both biologically relevant and irrelevant interactions to alleviate the wrong justification of ligands' biological relevance; and (5) developing a new quaternary structure-based algorithm for the modelling of protein-ligand complex structure. With these new features, Q-BioLiP is expected to be a valuable resource for studying biomolecule interactions, including protein-small molecule interaction, protein-metal ion interaction, protein-peptide interaction, protein-protein interaction, protein-DNA/RNA interaction, and RNA-small molecule interaction. Q-BioLiP is freely available at https://yanglab.qd.sdu.edu.cn/Q-BioLiP/.
Natural Language Processing Methods for the Study of Protein-Ligand Interactions.
Michels J, Bandarupalli R, Ahangar Akbari A, Le T, Xiao H, Li J J Chem Inf Model. 2025; 65(5):2191-2213.
PMID: 39993834 PMC: 11898065. DOI: 10.1021/acs.jcim.4c01907.
Natural Language Processing Methods for the Study of Protein-Ligand Interactions.
Michels J, Bandarupalli R, Ahangar Akbari A, Le T, Xiao H, Li J ArXiv. 2024; .
PMID: 39483353 PMC: 11527106.
Databases of ligand-binding pockets and protein-ligand interactions.
Carpenter K, Altman R Comput Struct Biotechnol J. 2024; 23:1320-1338.
PMID: 38585646 PMC: 10997877. DOI: 10.1016/j.csbj.2024.03.015.