Molecular-docking study of malaria drug target enzyme transketolase in Plasmodium falciparum 3D7 portends the novel approach to its treatment.

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2015-05-22 eCollection Date: 2015-01-01 DOI:10.1186/s13029-015-0037-3
Md Anayet Hasan, Md Habibul Hasan Mazumder, Afrin Sultana Chowdhury, Amit Datta, Md Arif Khan
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Abstract

Background: Malaria has been a major life threatening mosquito borne disease from long since. Unavailability of any effective vaccine and recent emergence of multi drug resistant strains of malaria pathogen Plasmodium falciparum continues to cause persistent deaths in the tropical and sub-tropical region. As a result, demands for new targets for more effective anti-malarial drugs are escalating. Transketolase is an enzyme of the pentose phosphate pathway; a novel pathway which is involved in energy generation and nucleic acid synthesis. Moreover, significant difference in homology between Plasmodium falciparum transketolase (Pftk) and human (Homo sapiens) transketolase makes it a suitable candidate for drug therapy. Our present study is aimed to predict the 3D structure of Plasmodium falciparum transketolase and design an inhibitor against it.

Results: The primary and secondary structural features of the protein is calculated by ProtParam and SOPMA respectively which revealed the protein is composed of 43.3 % alpha helix and 33.04 % random coils along with 15.62 % extended strands, 8.04 % beta turns. The three dimensional structure of the transketolase is constructed using homology modeling tool MODELLAR utilizing several available transketolase structures as templates. The structure is then subjected to deep optimization and validated by structure validation tools PROCHECK, VERIFY 3D, ERRAT, QMEAN. The predicted model scored 0.74 for global model reliability in PROCHECK analysis, which ensures the quality of the model. According to VERIFY 3D the predicted model scored 0.77 which determines good environmental profile along with ERRAT score of 78.313 which is below 95 % rejection limit. Protein-protein and residue-residue interaction networks are generated by STRING and RING server respectively. CASTp server was used to analyze active sites and His 109, Asn 108 and His 515 are found to be more positive site to dock the substrate, in addition molecular docking simulation with Autodock vina determined the estimated free energy of molecular binding was of -6.6 kcal/mol for most favorable binding of 6'-Methyl-Thiamin Diphosphate.

Conclusion: This predicted structure of Pftk will serve first hand in the future development of effective Pftk inhibitors with potential anti-malarial activity. However, this is a preliminary study of designing an inhibitor against Plasmodium falciparum 3D7; the results await justification by in vitro and in vivo experimentations.

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恶性疟原虫 3D7 中疟疾药物靶酶转酮醇酶的分子对接研究预示着治疗疟疾的新方法。
背景:长期以来,疟疾一直是威胁生命的主要蚊媒疾病。由于没有有效的疫苗,加上最近出现的恶性疟原虫多重抗药性菌株,热带和亚热带地区的疟疾死亡人数持续增加。因此,对更有效的抗疟疾药物新靶点的需求不断增加。Transketolase 是磷酸戊糖途径中的一种酶;磷酸戊糖途径是一种参与能量生成和核酸合成的新途径。此外,恶性疟原虫转酮醇酶(Pftk)与人类(智人)转酮醇酶的同源性存在显著差异,这使其成为药物治疗的合适候选对象。本研究旨在预测恶性疟原虫转酮醇酶的三维结构,并设计出针对它的抑制剂:ProtParam和SOPMA分别计算了该蛋白质的一级和二级结构特征,结果显示该蛋白质由43.3%的α螺旋和33.04%的随机线圈以及15.62%的延伸链和8.04%的β转折组成。利用同源建模工具 MODELLAR,以几种可用的转酮醇酶结构为模板,构建了转酮醇酶的三维结构。然后对结构进行了深度优化,并通过结构验证工具 PROCHECK、VERIFY 3D、ERRAT 和 QMEAN 进行了验证。在 PROCHECK 分析中,预测模型的全局模型可靠性得分为 0.74,这确保了模型的质量。根据 VERIFY 3D 分析,预测模型的得分为 0.77,确定了良好的环境状况,ERRAT 得分为 78.313,低于 95% 的拒绝极限。蛋白质-蛋白质和残基-残基相互作用网络分别由 STRING 和 RING 服务器生成。使用 CASTp 服务器分析了活性位点,发现 His 109、Asn 108 和 His 515 是与底物对接的积极位点,此外,使用 Autodock vina 进行的分子对接模拟确定了分子结合的估计自由能为 -6.6 kcal/mol,最有利于与 6'-Methyl-Thiamin Diphosphate 的结合:这一预测的 Pftk 结构将为未来开发具有潜在抗疟活性的有效 Pftk 抑制剂提供第一手资料。不过,这只是设计恶性疟原虫 3D7 抑制剂的初步研究,其结果还有待体外和体内实验的验证。
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Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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