Advanced Search


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 2024-11-15)

    • monomers: 102,894
    • dimers: 62,505
    • trimers: 9,486
    • tetramers: 17,392
    • others: 22,697

    Statistics of receptors involved in the biological relevant interactions

    • peptides: 50,740
    • nucleic acids: 35,802
    • metal ions: 368,495
    • k-mers: 36,330
    • other ligands: 536,566

    Statistics of nucleic acids in the biological relevant interactions

    • DNAs: 13,263
    • RNAs: 20,682
    • DNA-RNAs: 1,857

    Statistics of ligands in the biological relevant interactions

    Browse Q-BioLiP


    300x200

    Biologically relevant interactions

    The ligands are biologically relevant and interact tightly with the protein structures. This is the core data of Q-BioLiP, containing 1,024,205 entries.

    300x200

    Biologically irrelevant interactions

    The structures contain both proteins and ligands, but without biologically relevant interactions. It contains 1,884,668 entries.

    300x200

    Structures with proteins/ligands only

    The structures contain proteins/ligands only. It contains 72,971 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)