Identification of protein biochemical functions by similarity search using the molecular surface database eF-site.

摘要: The identification of protein biochemical functions based on their three-dimensional structures is strongly required in the post-genome-sequencing era. We have developed a new method to identify and predict using similarity information molecular surface geometries electrostatic potentials surfaces. Our prediction system consists search clique algorithm database eF-site (electrostatic functional-site proteins). Using this system, functional sites similar those phosphoenoylpyruvate carboxy kinase were detected several mononucleotide-binding proteins, which different folds. also applied our hypothetical protein, MJ0226 from Methanococcus jannaschii, mononucleotide binding site other proteins having