Characterization of Human-malarial Parasite Species based on DHFR and GST Targets Resulting in Changes in Anti-malarial Drug Binding Conformations.

Shrutika Sakpal, Shanker Lal Kothari, Virupaksha Bastikar
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Abstract

Background: In this study, we focused primarily on three anti-malarial drugs, namely chloroquine, mefloquine, and proguanil, and these were tested against two malarial targets DHFR and GST. The species Plasmodium falciparum, Plasmodium malariae, Plasmodium ovale, Plasmodium vivax were used for the study.

Objective: The purpose of this study was to determine the sequence and structural similarity of the proteins DHFR and GST among four Plasmodium species as well as to discover the in silico interactions with the aforementioned drug candidates.

Methods: Bioinformatics databases, such as PDB, UniProt, DrugBank, PubChem, and tools, and software like Phyre 2.0, Clustal O (1.2.4), AutoDock 4, AutoDock Vina, and Discovery Studio Visualizer were used to determine the evolutionary significance of the Plasmodium species.

Result: The variations showed a difference in the binding patterns of drugs with our target proteins. Our finding reveals the Plasmodium spp divergence or convergence as well as the structural and sequential similarity or dissimilarity features.

Conclusion: Our result suggests that due to the deviation in the sequences and structures, variations in protein-drug binding patterns have emerged.

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基于DHFR和GST靶点导致抗疟疾药物结合构象变化的人类疟疾寄生虫物种特征
背景:在本研究中,我们主要对氯喹、甲氟喹和proguanil三种抗疟疾药物进行了研究,并对两种疟疾靶点DHFR和GST进行了检测。研究对象为恶性疟原虫、疟疾疟原虫、卵形疟原虫、间日疟原虫。目的:确定四种疟原虫中DHFR和GST蛋白的序列和结构相似性,并发现其与上述候选药物的计算机相互作用。方法:利用PDB、UniProt、DrugBank、PubChem等生物信息学数据库和工具,以及Phyre 2.0、Clustal O(1.2.4)、AutoDock 4、AutoDock Vina、Discovery Studio Visualizer等软件,确定疟原虫物种的进化意义。结果:这些变异表明药物与靶蛋白的结合模式存在差异。我们的发现揭示了疟原虫的分化或趋同,以及结构和序列的相似性或差异性特征。结论:我们的研究结果表明,由于序列和结构的偏差,蛋白质与药物结合模式出现了变化。
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