Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

AffinDB

General information

URL: http://pc1664.pharmazie.uni-marburg.de/affinity/
Full name: Affinity database for protein-ligand complexes
Description: AffinDB is a database of affinity data for structurally resolved protein–ligand complexes from the Protein Data Bank (PDB).
Year founded: 2006
Last update:
Version:
Accessibility:
Accessible
Country/Region: Germany

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Philipp University Marburg
Address: Marbacher Weg 6, D-35032 Marburg, Germany
City: Marburg
Province/State:
Country/Region: Germany
Contact name (PI/Team): Gerhard Klebe
Contact email (PI/Helpdesk): klebe@staff.uni-marburg.de

Publications

16381925
AffinDB: a freely accessible database of affinities for protein-ligand complexes from the PDB. [PMID: 16381925]
Block P, Sotriffer CA, Dramburg I, Klebe G.

AffinDB is a database of affinity data for structurally resolved protein-ligand complexes from the Protein Data Bank (PDB). It is freely accessible at http://www.agklebe.de/affinity. Affinity data are collected from the scientific literature, both from primary sources describing the original experimental work of affinity determination and from secondary references which report affinity values determined by others. AffinDB currently contains over 730 affinity entries covering more than 450 different protein-ligand complexes. Besides the affinity value, PDB summary information and additional data are provided, including the experimental conditions of the affinity measurement (if available in the corresponding reference); 2D drawing, SMILES code and molecular weight of the ligand; links to other databases, and bibliographic information. AffinDB can be queried by PDB code or by any combination of affinity range, temperature and pH value of the measurement, ligand molecular weight, and publication data (author, journal and year). Search results can be saved as tabular reports in text files. The database is supposed to be a valuable resource for researchers interested in biomolecular recognition and the development of tools for correlating structural data with affinities, as needed, for example, in structure-based drug design.

Nucleic Acids Res. 2006:34(Database issue) | 59 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
3261/6895 (52.719%)
Structure:
469/967 (51.603%)
3261
Total Rank
57
Citations
3
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Record metadata

Created on: 2015-09-09
Curated by:
Mengwei Li [2016-04-11]
Mengwei Li [2016-03-31]
Mengwei Li [2016-03-28]
Mengwei Li [2015-11-22]