Novel approach for structural identification of protein family: glyoxalase I. Issue 10 (27th July 2018)

• Record Type: Journal Article
• Authors: Kargatov, Anton M.; Boshkova, Eugenia A.; Chirgadze, Yuri N.
• Is Part Of: Journal of biomolecular structure & dynamics. Volume 36:Issue 10(2018)
• Page Start: 2699
• Page End: 2712
• Publication Date: 2018-07-27
• Subjects: glyoxalase I -- subfamily -- metalloprotein -- life essential protein; Biomolecules -- Periodicals; Molecular structure -- Periodicals; Molecular Biology -- Periodicals; Biomechanics -- Periodicals; 572
• DOI: 10.1080/07391102.2017.1367330
• Languages: English
• ISSNs: 0739-1102

Abstract

Abstract : Glyoxalase is one of two enzymes of the glyoxalase detoxification system against methylglyoxal and other aldehydes, the metabolites derived from glycolysis. The glyoxalase system is found almost in all living organisms: bacteria, protozoa, plants, and animals, including humans, and is related to the class of 'life essential proteins'. The enzyme belongs to the expanded Glyoxalase/Bleomycin resistance protein/Dioxygenase superfamily. At present the GenBank contains about 700 of amino acid sequences of this enzyme type, and the Protein Data Bank includes dozens of spatial structures. We have offered a novel approach for structural identification of glyoxalase I protein family, which is based on the selecting of basic representative proteins with known structures. On this basis, six new subfamilies of these enzymes have been derived. Most populated subfamilies A1 and A2 were based on representative human Homo sapiens and bacterial Escherichia coli enzymes. We have found that the principle feature, which defines the subfamilies' structural differences, is conditioned by arrangement of N- and C-domains inside the protein monomer. Finely, we have deduced the structural classification for the glyoxalase I and assigned about 460 protein sequences distributed among six new subfamilies. Structural similarities and specific differences of all the subfamilies have been presented. This approach can be used for structural identification of thousands of the so-called hypothetical proteins with the known PDB structures allowing to identify many of already existing atomic coordinate entrees.