Design, synthesis, and evaluation of pyrazolo-pyrazole derivatives on Methylisocitratelyase of Pseudomonas aeruginosa: in silico and in vitro study

被引:2
|
作者
Pulaganti, Madhusudana [1 ,2 ]
Anuradha, C. M. [3 ]
Kumar, Chitta Suresh [1 ]
机构
[1] Sri Krishnadevaraya Univ, Dept Biochem, BIF, Anantapur 515003, Andhra Pradesh, India
[2] Acharya Nagarjuna Univ, Dept Biotechnol, Guntur 522510, India
[3] Sri Krishnadevaraya Univ, Dept Biotechnol, Anantapur 515003, Andhra Pradesh, India
来源
关键词
MICL; pyrazolo-pyrazole derivatives; virtual screening; synthesis; docking; DRUG DEVELOPMENT; PROTEIN; PREDICTION; DOCKING; BINDING; INHIBITORS; PROFILE;
D O I
10.1080/07391102.2016.1223754
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
Pseudomonas aeruginosa is an opportunistic micro-organism causing diseases both in animals and humans. In case of human pathology, the role of P. aeruginosa is one of the major concerns in intensive care septicemia. Presently, the drug resistance strains of P. aeruginosa are arising mainly by developing multiple mechanisms due to its natural and acquired resistance to many of the antimicrobial agents commonly used in clinical practice. As a result, there is a direct need to invent new drugs so that they may restrict the outbreak of multidrug resistant strains. Virtual high-throughput insilico screening, which helps to identify the chemical ligands that bind to the enzymes, is an important tool in drug discovery and the drugs discovered in this way are clinically tested. In this study, Methylisocitratelyase (MICL), which is essential for the survival of the bacterium and which doesn't show any similarity with the humans, was selected to evaluate the functions of high-affinity inhibitors (PPI-analogs) that are identified using the virtual screening approach. By adopting the computational analysis tools, structural, functional, and inhibitor interactions of MICL against P. aeruginosa were identified. The PPIA-32 is found to be the best binding interactions with MICL. PPIA-32 reduces the binding affinity for substrate to residues required for MICL enzyme activity and also Root Mean Square Deviation simulations show the most stable nature of PPA32-MICL(complex) than that of MICL alone, thereby effectively inhibiting the growth of virulent P. aeruginosa. To our surprise, the same phenomenon is also identified with other gram-negative bacteria like Escherichia coli, Klebsiella pneumoniae, and Salmonella typhi.
引用
收藏
页码:2509 / 2529
页数:21
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