Exploiting 3D structural templates for detection of metal-binding sites in protein structures.
High throughput structural genomics efforts have been making the structures of proteins available even before their function has been fully characterized. Therefore, methods that exploit the structural knowledge to provide evidence about the functions of proteins would be useful. Such methods would be needed to complement the sequence-based function annotation approaches. The current study describes generation of 3D-structural motifs for metal-binding sites from the known metalloproteins. It then scans all the available protein structures in the PDB database for putative metal-binding sites. Our analysis predicted more than 1000 novel metal-binding sites in proteins using three-residue templates, and more than 150 novel metal-binding sites using four-residue templates. Prediction of metal-binding site in a yeast protein YDR533c led to the hypothesis that it might function as metal-dependent amidopeptidase. The structural motifs identified by our method present novel metal-binding sites that reveal newer mechanisms for a few well-known proteins.
Goyal
Kshama
K
Laboratory of Structural Biology, Center for DNA Fingerprinting and Diagnostics, Nacharam, Hyderabad 500076, Andhra Pradesh, India.
Mande
Shekhar C
SC
D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008667:Metalloproteins / Q000737:chemistry*; D008722:Methods; D040681:Structural Homology, Protein
D008667:Metalloproteins