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Welcome to Q-BioLiP

Q-BioLiP is an updated version of the original BioLiP database for protein-ligand interactions. One of the major improvements over BioLiP are the protein-ligand interactions are based on quaternary structure rather than single-chain monomer structure. DNA/RNA chains are also paired rather than separated. To predict the ligand-binding site for new structures, Q-SITE can be used. Read more about the Q-BioLiP...


For each structure from PDB (in mmCIF format), the following annotation data are provided in Q-BioLiP:

  • Receptor information
  • Ligand information
  • Assessment of the biological relevance
  • Ligand-binding residues
  • Experimental (if available) and predicted binding affinities
  • Interactive visualization of the protein-ligand interactions
  • Download of protein-ligand complex structures in mmCIF/PDB format

    • Statistics (Version 2026-01-16)

    • monomers: 109,822
    • dimers: 67,356
    • trimers: 10,265
    • tetramers: 18,858
    • others: 26,087

    Statistics of receptors involved in the biological relevant interactions

    • peptides: 55,480
    • nucleic acids: 39,349
    • metal ions: 379,794
    • k-mers: 41,044
    • other ligands: 594,869

    Statistics of nucleic acids in the biological relevant interactions

    • DNAs: 14,728
    • RNAs: 22,265
    • DNA-RNAs: 2,356

    Statistics of ligands in the biological relevant interactions

    Browse Q-BioLiP


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    Biologically relevant interactions

    The ligands are biologically relevant and interact tightly with the protein structures. This is the core data of Q-BioLiP, containing 1,110,536 entries.

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    Biologically irrelevant interactions

    The structures contain both proteins and ligands, but without biologically relevant interactions. It contains 2,118,129 entries.

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    Structures with proteins/ligands only

    The structures contain proteins/ligands only. It contains 78,544 entries.

    Reference

  • Wei et al, Q-BioLiP: A Comprehensive Resource for Quaternary Structure-based Protein–ligand Interactions, Genomics, Proteomics & Bioinformatics, 22(1), qzae001, 2024. (PDF)