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恶性疟原虫丝氨酸/苏氨酸蛋白磷酸酶5新型类药物抑制剂的探索:对接与模拟研究

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

作者信息

Gupta Saurabh, Jadaun Alka, Kumar Himansu, Raj Utkarsh, Varadwaj Pritish Kumar, Rao A R

机构信息

a Department of Bioinformatics, Computer Centre-II , Indian Institute of Information Technology-Allahabad , Allahabad 211012 , India.

b School of Biotechnology , Jawaharlal Nehru University , New Delhi 110067 , India.

出版信息

J Biomol Struct Dyn. 2015;33(11):2421-41. doi: 10.1080/07391102.2015.1051114. Epub 2015 Jun 15.

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.

摘要

蛋白质磷酸化是一种重要机制,涉及包括寄生原生动物在内的任何生物体的生理过程。金属蛋白丝氨酸/苏氨酸蛋白磷酸酶5(PP5)控制恶性疟原虫的各种细胞信号通路。恶性疟原虫中PP5的结构和抑制机制尚不清楚。事实上,迄今为止尚无恶性疟原虫丝氨酸/苏氨酸蛋白磷酸酶5(PfPP5)的实验结构数据。因此,我们提出了PfPP5催化亚基的计算机生成模型,并分析了其抑制机制。将一组42种已知的蛋白质磷酸酶家族天然抑制剂与PfPP5的金属结合催化位点进行对接,我们发现斑蝥素及其衍生物在其中表现出更好的结合能。以这些化合物为先导化合物,对PubChem和ChemBank进行相似性搜索。搜索结果提供了3703种相似化合物;其中2245种符合Lipinski五规则。进一步对这些化合物进行虚拟筛选,并根据结合能选择了前25种。接着,对这些筛选出的化合物进行刚性和柔性对接,以深入了解相互作用。最后,对前5种化合物的ADMET性质进行了验证,然后对所有化合物进行25纳秒的分子动力学模拟,以验证其稳定性。化合物CBI:3554182、CID:23561913和CID:21168680表现出最稳定的结合,尽管在整个模拟过程中一些氢键配对有所变化。这些发现将有助于药物化学家开发抗疟药物来对抗这种致命疾病。

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