Computational Pharmacogenetics of P-Glycoprotein Mediated Antiepileptic Drug Resistance

Q3 Computer Science
Sindhu Varghese, Ashok Palaniappan
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引用次数: 1

Abstract

The treatment of epilepsy using antiepileptogenic drugs is complicated by drug resistance, resulting in treatment failure in more than one-third of cases. Human P-glycoprotein (hPGP;MDR1) is a known epileptogenic mediator.Given that experimental investigations have suggested a role for pharmacogenetics in this treatment failure, it would be of interest to study hPGP polymorphisms that might contribute to the emergence of drug resistance. Changes in protein functional activity could result from mutations as well as altered abundance. Bioinformatics approaches were used to assess and rank the functional impact of 20 missenseMDR1polymorphisms and the top five were selected. The structures of the wildtype and variant hPGP were modelled based on the mouse PGP structure. Docking studies of the wildtype and variant hPGP with four standard anti-epileptic drugs were carried out.Our results revealed that the drug binding site with respect to the wildtype protein was uniform. However, the variant hPGP proteins displayed a repertoire of binding sites with stronger binding affinities towards the drug.Our studies indicated that specific polymorphisms inMDR1could drive conformational changes of PGP structure, facilitating altered contacts with drug-substrates and thus modifying their bioavailability. This suggests thatMDR1polymorphisms could actively contribute to the emergence of pharmaco-resistance in antiepileptic therapy.
p糖蛋白介导的抗癫痫药物耐药性的计算药物遗传学研究
使用抗癫痫药物治疗癫痫伴有耐药性,导致三分之一以上的病例治疗失败。人p -糖蛋白(hPGP;MDR1)是一种已知的致痫介质。鉴于实验研究表明药物遗传学在这种治疗失败中起作用,研究可能导致耐药性出现的hPGP多态性将是一项有趣的研究。蛋白质功能活性的变化可能是由突变和丰度改变引起的。利用生物信息学方法对20个missensemdr1多态性的功能影响进行评估和排序,并选出前5个。在小鼠PGP结构的基础上,建立了野生型和变异型hPGP的结构模型。将野生型和变异型hPGP与四种标准抗癫痫药物进行对接研究。我们的结果显示,药物结合位点相对于野生型蛋白是均匀的。然而,变体hPGP蛋白显示出对药物具有更强结合亲和力的结合位点。我们的研究表明,mdr1的特定多态性可以驱动PGP结构的构象变化,促进与药物底物的接触改变,从而改变其生物利用度。这表明mdr多态性可能在抗癫痫治疗中积极促进药物耐药的出现。
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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