KOFFI

KOFFI aggregates binding kinetics data from Europe PMC to provide structured association and dissociation rate constants and metadata for biomolecular interactions involving DNA, RNA, proteins, and chemical compounds.


Key Features:

  • Extensive Data Collection: Manually curated data from over 270 articles covering more than 1705 distinct biomolecular interactions involving DNA, RNA, proteins, and chemical compounds.
  • Manual Annotation and Review: Each data point is manually annotated and reviewed to capture reported kinetic values and associated metadata.
  • Text Extraction Methods: Advanced text extraction techniques capture binding rates (association and dissociation) and related meta-information such as experimental methods and devices.
  • Anabel Integration via API: A database application programming interface (API) enables programmatic access and integration with the Anabel analysis platform for comparison of experimental binding analyses.

Scientific Applications:

  • Drug Discovery: Provide kinetic constants for target–ligand interactions to inform lead optimization and binding mechanism studies.
  • Molecular Biology Research: Enable analysis of interaction dynamics among DNA, RNA, proteins, and chemical compounds.
  • Systems Biology: Supply quantitative kinetic parameters for incorporation into dynamic interaction models.
  • Comparative Analysis and Validation: Facilitate comparison and validation of experimental binding data analyses through integration with Anabel.

Methodology:

Advanced text extraction techniques systematically retrieve association and dissociation rates and metadata from Europe PMC articles, and a database API provides programmatic access for integration with Anabel.

Topics

Details

Tool Type:
web application
Added:
1/9/2020
Last Updated:
12/14/2020

Operations

Publications

Norval LW, Krämer SD, Gao M, Herz T, Li J, Rath C, Wöhrle J, Günther S, Roth G. KOFFI and Anabel 2.0—a new binding kinetics database and its integration in an open-source binding analysis software. Database. 2019;2019. doi:10.1093/database/baz101. PMID:31608948. PMCID:PMC6790968.

PMID: 31608948
PMCID: PMC6790968
Funding: - German Ministry for Art and Sciences: 01DL17007B, FKZ 03VP01200 - Baden-Württemberg Foundation: BWST_WSF-043