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.
DOI: 10.3390/biom12070967
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