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Articles

Exploration of new drug-like inhibitors for serine/threonine protein phosphatase 5 of Plasmodium falciparum: a docking and simulation study

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Pages 2421-2441 | Received 26 Feb 2015, Accepted 11 May 2015, Published online: 15 Jun 2015
 

Abstract

Protein phosphorylation is an important mechanism that implicates in physiology of any organism including parasitic protozoa. Metallic protein Ser/Thr protein phosphatase 5 (PP5) controls various cellular signaling pathways of Plasmodium falciparum. The structure and inhibitory mechanism of PP5 in P. falciparum is not known. In fact, no experimental structural data are available for P. falciparum Ser/Thr protein phosphatase 5 (PfPP5) till date. Hence, we have proposed computer-generated model of catalytic subunit of PfPP5 and its inhibitory mechanism was analyzed. A set of 42 known natural inhibitors of protein phosphate family were docked against metal-binding catalytic site of PfPP5 and we found that cantharidin and its derivatives shows better binding energy among them. Similarity search was performed by taking these compounds as lead compounds against PubChem and ChemBank. The search result provides 3703 similar compounds; out of which 2245 qualified the Lipinski rule of five. Further, virtual screening of these compounds was performed and selected top 25 were selected on the basis of binding energy. In continuation, rigid and flexible docking of these screened compounds was performed to get the insight of interactions. Finally, top 5 compounds were verified for ADMET properties, and then, all are subjected to MD simulations for 25 ns in order to validate their stability. Compounds CBI: 3554182, CID: 23561913, and CID: 21168680 showed most stable binding, although some of hydrogen bonds pairing varied throughout simulation. These finding would be helpful to the medicinal chemists for the development of antimalarial drugs to combat this deadly disease.

Acknowledgement

The authors would like to thank the computational facilities provided by the statistical and computational genomic lab at Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi-110012, India.

Disclosure statement

No potential conflict of interest was reported by the authors.

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