iPPI-DB
iPPI-DB catalogs non-peptide small molecules that modulate protein-protein interactions and aggregates associated structural, pharmacological, binding, activity, pharmacokinetic, and cytotoxicity data to support PPI-targeted drug discovery and exploration of the druggable genome.
Key Features:
- Data diversity: Curated entries include structural information, pharmacological profiles, binding characteristics, activity data, pharmacokinetics, cytotoxicity, and details about PPI targets.
- Community curation: Crowdsourcing mechanisms enable external experts to suggest and validate new entries to enhance dataset completeness and accuracy.
- Updated data model and advanced querying: An updated data model and advanced querying tools support structured representation and retrieval of PPI modulator data.
- Expanded scope: The collection covers both traditional PPI modulators and PPI stabilizers.
- Persistent query sharing and FAIR compliance: Queries can be shared via persistent links and the resource adheres to FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Scientific Applications:
- PPI-targeted drug discovery: Supports identification and prioritization of small-molecule therapeutic candidates targeting protein-protein interactions.
- Mechanistic analysis: Facilitates investigation of mechanisms underlying PPI modulation using curated binding and activity data.
- Chemical and pharmacokinetic profiling: Enables mining of structural and pharmacokinetic data to inform design and optimization of non-peptide PPI modulators.
Methodology:
Data are manually curated and updated with community contributions via crowdsourcing; queries can be shared through persistent links, the resource follows FAIR data principles, and data are provided in CSV format.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- Python
- Added:
- 1/14/2021
- Last Updated:
- 1/14/2021
Operations
Publications
Torchet R, Druart K, Ruano LC, Moine-Franel A, Borges H, Doppelt-Azeroual O, Brancotte B, Mareuil F, Nilges M, Ménager H, Sperandio O. The iPPI-DB initiative: a community-centered database of protein–protein interaction modulators. Bioinformatics. 2021;37(1):89-96. doi:10.1093/bioinformatics/btaa1091. PMID:33416858. PMCID:PMC8034526.
Downloads
- Downloads pagehttps://ippidb.pasteur.fr/compounds/?format=csv