Elucidating the binding specificity of interactive compounds targeting ATP-binding cassette subfamily G member 2 (ABCG2).

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Pawan Kumar, Indu Kumari, Rajendra Prasad, Shashikant Ray, Atanu Banerjee, Amresh Prakash
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Abstract

The ATP-binding cassette transporter superfamily plays a pivotal role in cellular detoxification and drug efflux. ATP-binding cassette subfamily G member 2 (ABCG2) referred to as the Breast cancer resistance protein has emerged as a key member involved in multidrug resistance displayed by cancer cells. Understanding the molecular basis of substrate and inhibitor recognition, and binding within the transmembrane domain of ABCG2 is crucial for the development of effective therapeutic strategies. Herein, utilizing state-of-the-art molecular docking algorithms and molecular dynamic (MD) simulations, molecular binding of substrates and inhibitors with ABCG2 are defined, distinctly. We performed extensive virtual screening of Drugbank to identify the potential candidates, and MD simulations of docked complexes were carried out in POPC lipid bilayer. Further, the binding affinities of compounds were estimated by free binding energy employing MM-GBSA. To gain deeper insight into the binding affinities and molecular characteristics contributing to inhibitory potential of certain substrates, we included some well-known inhibitors, like Imatinib, Tariquidar, and Ko 143, in our analysis. Docking results show three compounds, Docetaxel > Tariquidar > Tezacaftor having the highest binding affinities (≤ 12.00 kcal/mol) for ABCG2. Remarkably, MM-GBSA results suggest the most stable binding of Tariquidar with ABCG2 as compared to the other inhibitors. Furthermore, our results suggested that Docetaxel, Ozanimod, Pitavastatin, and Tezacaftor have the strongest affinity for the drug-binding site(s) of ABCG2. These results provide valuable insights into the key residues that may govern substrate/inhibitor recognition, shedding light on the molecular determinants influencing substrate specificity, transport kinetics, and ABCG2-mediated drug efflux.

阐明针对atp结合盒亚家族G成员2 (ABCG2)的相互作用化合物的结合特异性。
atp结合盒转运蛋白超家族在细胞解毒和药物外排中起关键作用。atp结合盒亚家族G成员2 (ABCG2)被称为乳腺癌耐药蛋白,是参与癌细胞多药耐药的关键成员。了解底物和抑制剂识别的分子基础,以及ABCG2跨膜结构域内的结合,对于制定有效的治疗策略至关重要。本文利用最先进的分子对接算法和分子动力学(MD)模拟,明确地定义了底物和抑制剂与ABCG2的分子结合。我们对Drugbank进行了广泛的虚拟筛选,以确定潜在的候选药物,并在POPC脂质双分子层中进行了停靠复合物的MD模拟。此外,利用MM-GBSA通过自由结合能估计化合物的结合亲和力。为了更深入地了解某些底物的结合亲和力和抑制潜力的分子特征,我们在分析中纳入了一些知名的抑制剂,如伊马替尼、Tariquidar和Ko 143。对接结果表明,Docetaxel > Tariquidar > Tezacaftor对ABCG2的结合亲和力最高(≤12.00 kcal/mol)。值得注意的是,MM-GBSA结果表明,与其他抑制剂相比,Tariquidar与ABCG2的结合最稳定。此外,我们的研究结果表明,多西他赛、Ozanimod、Pitavastatin和Tezacaftor对ABCG2的药物结合位点具有最强的亲和力。这些结果为可能控制底物/抑制剂识别的关键残基提供了有价值的见解,揭示了影响底物特异性、运输动力学和abcg2介导的药物外排的分子决定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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