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

Links

Repository
https://gitlab.pasteur.fr/ippidb/ippidb-web/
(Repository for the web application)

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