CavitySpace

CavitySpace catalogs potential ligand binding sites across the human proteome to support protein function inference and structure-based drug discovery.


Key Features:

  • Extensive Coverage: CavitySpace represents the first comprehensive pocket library encompassing all proteins within the human proteome and applies the ligand binding site detection program CAVITY to identify potential binding sites.
  • Integration with AlphaFold Predictions: The database incorporates 3D structures predicted by AlphaFold to extend analysis to proteins lacking experimental structural data.
  • Validation and Recovery: CavitySpace recovers known ligand binding sites, providing validation of predicted cavities.
  • Functional Grouping: Predicted binding sites are grouped by similarity to facilitate protein function prediction and drug repurposing analyses.
  • Novel Opportunities for Drug Discovery: The resource identifies novel binding sites within highly reliable predicted structure regions, offering new targets for drug discovery.

Scientific Applications:

  • Protein Function Prediction: Analysis of binding site locations and properties supports inference of protein functions.
  • Structure-Based Drug Design: Detailed information on potential binding sites aids design of molecules targeting those sites.
  • Drug Repurposing Studies: Grouping of similar binding sites enables exploration of new applications for existing drugs.

Methodology:

CavitySpace detects ligand binding sites using the CAVITY program applied to 3D protein structures predicted by AlphaFold.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
9/20/2022
Last Updated:
11/24/2024

Operations

Publications

Wang S, Lin H, Huang Z, He Y, Deng X, Xu Y, Pei J, Lai L. CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome. Biomolecules. 2022;12(7):967. doi:10.3390/biom12070967. PMID:35883523. PMCID:PMC9312471.

PMID: 35883523
PMCID: PMC9312471
Funding: - the National Natural Science Foundation of China: 2021-I2M-5-014, 22033001 - the Chinese Academy of Medical Sciences: 2021-I2M-5-014, 22033001