C P K Srimath-Tirumala-Peddinti Ravi, Kusuma Sandeep S, Nammi Deepthi, Neelapu Nageswara R R
Department of Bioinformatics, School of Life Sciences, GITAM Institute of Science, GITAM University, Rushikonda campus, Visakhapatnam - 530045 (AP). India.
Department of Bioinformatics, School of Life Sciences, GITAM Institute of Science, GITAM University, Rushikonda, Visakhapatnam- 530045. AP. India.
Infect Disord Drug Targets. 2017;17(3):199-222. doi: 10.2174/1871526517666170606113133.
Malaria is a lethal disease causing mortality to over millions each year. Drug resistance in the malarial parasite spurred effects to discover effective antimalarial drug targets and drugs. An objective of this current study is to identify drug targets for malarial parasite. Genes unique, non-homologous to humans and essential for parasite are identified using BLASTn by comparing genomes between parasite and host.
Further open BLASTp was used to filter the targets specific to Plasmodium species and later were subjected to gene property analysis to identify 65 potential targets. Screening of potential drug targets for the drug target properties like virulence and enzyme identified three drug targets with virulence property and eleven with enzymatic nature.
Thirteen knockouts related to potential drug targets were already tested in Plasmodium species, non-Plasmodium species and rodent malaria, lending credence to our approach. 3-D structures of 27 drug targets were predicted using I-tasser server and apicoplast import protein Tic20 is the best modeled protein. Gene ontology studies and analysis for motifs on nuclear localization signal (NLS) established apicoplast import protein Tic20 as an import protein. In silico docking studies were used to establish the druggability of apicoplast import protein Tic20.
In silico docking studies on 3-D structure generated using I-tasser with quinine, chloroquine, artesunate into the active site of apicoplast import protein Tic20 established apicoplast import protein Tic20 as a promising therapeutic molecular target.
疟疾是一种致命疾病,每年导致数百万人死亡。疟原虫的耐药性促使人们去发现有效的抗疟药物靶点和药物。本研究的一个目标是确定疟原虫的药物靶点。通过比较寄生虫和宿主的基因组,使用BLASTn来鉴定与人类无同源性且对寄生虫至关重要的独特基因。
进一步使用开放的BLASTp来筛选疟原虫属特异性的靶点,随后对其进行基因特性分析以鉴定65个潜在靶点。针对毒力和酶等药物靶点特性对潜在药物靶点进行筛选,确定了三个具有毒力特性的药物靶点和十一个具有酶性质的靶点。
已经在疟原虫属、非疟原虫属物种和啮齿动物疟疾中测试了与潜在药物靶点相关的13个基因敲除,这为我们的方法提供了可信度。使用I-tasser服务器预测了27个药物靶点的三维结构,其中质体输入蛋白Tic20是建模效果最佳的蛋白质。通过基因本体研究和对核定位信号(NLS)基序的分析,确定质体输入蛋白Tic20为一种输入蛋白。采用计算机对接研究来确定质体输入蛋白Tic20的可药用性。
使用I-tasser生成的三维结构与奎宁、氯喹、青蒿琥酯进行计算机对接研究,将其对接至质体输入蛋白Tic20的活性位点,确定质体输入蛋白Tic20为一个有前景的治疗分子靶点。