Signatures of the ATP-binding pocket as a basis for structural classification of the serine/threonine protein kinases of gram-positive bacteria

被引:7
|
作者
Zakharevich, Natalia V. [1 ]
Osolodkin, Dmitry I. [2 ]
Artamonova, Irena I. [3 ,4 ]
Palyulin, Vladimir A. [2 ,5 ]
Zefirov, Nikolay S. [2 ,5 ]
Danilenko, Valery N.
机构
[1] Russian Acad Sci, Lab Genet Microorganisms, Vavilov Inst Gen Genet, Moscow 119991, Russia
[2] Moscow MV Lomonosov State Univ, Dept Chem, Moscow 119991, Russia
[3] Russian Acad Sci, Kharkevich Inst Informat Transmiss Problems, Moscow 127994, Russia
[4] Moscow MV Lomonosov State Univ, Fac Bioengn & Bioinformat, Moscow 119991, Russia
[5] Russian Acad Sci, Inst Physiol Act Cpds, Chernogolovka 142432, Moscow Region, Russia
关键词
protein kinases; Gram-positive bacteria; molecular modeling; kinome; classification of serine; threonine protein kinases; eukaryotic-like serine; threonine protein kinase; EVOLUTIONARY CONSERVATION; ACTIVATION MECHANISM; SEQUENCE; SITES; PKNB; RECOGNITION; CONSURF; DESIGN; SYSTEM; DOMAIN;
D O I
10.1002/prot.24032
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Eukaryotic-like serine/threonine protein kinases (ESTPKs) are widely spread throughout the bacterial genomes. These enzymes can be potential targets of new antibacterial drugs useful for the treatment of socially important diseases such as tuberculosis. In this study, ESTPKs of pathogenic, probiotic, and antibiotic-producing Gram-positive bacteria were classified according to the physicochemical properties of amino acid residues in the ATP-binding site of the enzyme. Nine residues were identified that line the surface of the adenine-binding pocket, and ESTPKs were classified based on these signatures. Twenty groups were discovered, five of them containing >10 representatives. The two most abundant groups contained >150 protein kinases that belong to the various branches of the phylogenetic tree, whereas certain groups are genus- or even species-specific. Homology modeling of the typical representatives of each group revealed that the classification is reliable, and the differences between the protein kinase ATP-binding pockets predicted based on their signatures are apparent in their structure. The classification is expected to be useful for the selection of targets for new anti-infective drugs. Proteins 2012;. (c) 2012 Wiley Periodicals, Inc.
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页码:1363 / 1376
页数:14
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