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Updated: Jun 25, 2026
10:21
Protein Target Prediction and Validation of Small Molecule Compound
Published on: February 23, 2024
CREDO: a protein-ligand interaction database for drug discovery.
Adrian Schreyer1, Tom Blundell
1Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB21GA, UK.
Chemical Biology & Drug Design
|February 12, 2009
Summary
CREDO is a new, scriptable database that integrates protein-ligand structural, sequence, and chemical data. This resource aids drug discovery by providing structural interaction fingerprints and novel features for analyzing protein-small molecule interactions.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Chemistry
Background:
- The Protein Data Bank (PDB) contains a vast number of protein-ligand complexes crucial for drug discovery.
- Integrating 3D structural data with sequence and chemical information is essential for understanding protein-small molecule interactions.
- Characterizing these interactions at the inter-atomic level requires specialized tools and databases.
Purpose of the Study:
- To introduce CREDO, a novel, publicly available database for protein-ligand interactions.
- To represent protein-ligand contacts using structural interaction fingerprints.
- To provide a scriptable platform with advanced features for drug discovery research.
Main Methods:
- Development of CREDO database integrating structural, sequence, and chemical data from PDB.
- Implementation of structural interaction fingerprints to represent protein-ligand contacts.
- Incorporation of molecular shape descriptors (ultrafast shape recognition), ligand fragmentation, sequence-to-structure mapping, and drug identification features.
- Creation of a comprehensive application programming interface (API) for scriptability.
Main Results:
- CREDO offers a unique representation of protein-ligand interactions via structural interaction fingerprints.
- The database includes features such as molecular shape descriptors, ligand fragmentation, and sequence-to-structure mapping.
- CREDO facilitates the identification of approved drugs within its dataset.
- A fully scriptable API allows for automated data retrieval and analysis.
Conclusions:
- CREDO provides a valuable, freely accessible resource for both academic and commercial drug discovery programs.
- The database's novel features and scriptability enhance the analysis of protein-ligand interactions.
- CREDO's integration of diverse data types supports comprehensive structural and chemical characterization of drug targets.
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