Finding enzyme cofactors in Protein Data Bank

Area of Science:

• Biochemistry
• Structural Biology
• Bioinformatics

Background:

• Enzymes catalyze essential biological reactions, often requiring cofactors.
• The Protein Data Bank (PDB) houses over 67,000 enzyme structures, many with bound cofactors.
• Discovering and categorizing these cofactors is vital for understanding enzyme mechanisms.

Purpose of the Study:

• To systematically identify and classify enzyme cofactors and cofactor-like molecules within the PDB.
• To improve the findability and accessibility of cofactor information for researchers.
• To integrate cofactor data into routine structural biology data releases.

Main Methods:

• Development of a computational pipeline for identifying small molecules in PDB entries.
• Categorization of identified molecules as cofactors or cofactor-like.
• Integration of the identification pipeline into the Protein Data Bank in Europe (PDBe) weekly release process.

Main Results:

• A comprehensive catalog of enzyme cofactors and related molecules within the PDB has been established.
• Cofactor information is now readily available on individual PDBe entry pages.
• Programmatic access to cofactor data is provided via the PDBe REST API.

Conclusions:

• The implemented pipeline successfully identifies and categorizes enzyme cofactors in the PDB.
• Enhanced accessibility of cofactor data facilitates research in enzymology and structural biology.
• This initiative streamlines the discovery of essential molecules involved in enzymatic processes.