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针对人类碳酸酐酶IX催化结构域进行虚拟筛选、分子动力学及结合自由能计算以解读潜在先导化合物。

Virtual screening, molecular dynamics, and binding free energy calculations on human carbonic anhydrase IX catalytic domain for deciphering potential leads.

作者信息

John Arun, Sivashanmugam Muthukumaran, Umashankar Vetrivel, Natarajan Sulochana Konerirajapuram

机构信息

a Centre for Bioinformatics, Kamalnayan Bajaj Institute for Research in Vision and Ophthalmology, Vision Research Foundation , Sankara Nethralaya , Chennai 600006 , Tamil Nadu , India.

c School of Chemical and Biotechnology , SASTRA University , Thanjavur , Tamil Nadu , India.

出版信息

J Biomol Struct Dyn. 2017 Aug;35(10):2155-2168. doi: 10.1080/07391102.2016.1207565. Epub 2016 Aug 2.

Abstract

Carbonic anhydrase IX is a tumor-associated membrane-bound metallo-enzyme which catalyzes the reversible hydration of carbon dioxide (CO) to bicarbonate (HCO) and proton (H) ions. It is a hypoxia-inducible enzyme and plays a critical role in tumor pH homeostasis favoring tumor cell invasiveness and drug resistance. Over expression of CAIX is documented in cancers of breast, lung, kidney, colon/rectum, etc. Chemical inhibition of CAIX activity has proven to be an effective therapeutic modality towards targeting cancer. Hence, in this study, we intend to identify potential molecules from NCI (National Cancer Institute) and Maybridge databases implementing high-throughput virtual screening. CAIX co-crystallized with acetazolamide (a known inhibitor of CAIX) (PDB ID: 3IAI) was used for reference-guided docking protocol. The potential inhibitors among the coupled data sets were finalized based on Glide docking score, Prime/MMGBSA scoring, significant intermolecular interactions, ADMET (absorption, distribution, metabolism and excretion, toxicity) prediction and stability of complex formation, molecular dynamics simulation, and comparative analysis. By this study, we propose NSC_93618, NSC_170253, NSC_93618, JFD03677, SEW06488, and BTB09372 to be highly significant, as all these compounds were found to qualify as potential leads surpassing all the stringent filtering process. However, NSC_93618 was found to be the most potential, as it featured with higher complex stability with strong bonded interactions, binding affinity synonymous to acetazolamide. Hence, these proposed compounds shall prove to be effective in targeting CAIX towards modulating carcinogenesis.

摘要

碳酸酐酶IX是一种肿瘤相关的膜结合金属酶,可催化二氧化碳(CO)可逆水合生成碳酸氢根(HCO)和质子(H)离子。它是一种缺氧诱导酶,在肿瘤pH稳态中起关键作用,有利于肿瘤细胞的侵袭性和耐药性。CAIX在乳腺癌、肺癌、肾癌、结肠/直肠癌等癌症中存在过表达。事实证明,化学抑制CAIX活性是一种有效的癌症靶向治疗方式。因此,在本研究中,我们打算从美国国立癌症研究所(NCI)和梅布里奇数据库中筛选潜在分子,实施高通量虚拟筛选。与乙酰唑胺(一种已知的CAIX抑制剂)共结晶的CAIX(蛋白质数据银行ID:3IAI)用于参考指导对接方案。根据Glide对接分数、Prime/MMGBSA评分、显著的分子间相互作用、ADMET(吸收、分布、代谢和排泄、毒性)预测以及复合物形成的稳定性、分子动力学模拟和比较分析,确定耦合数据集中的潜在抑制剂。通过本研究,我们提出NSC_93618、NSC_170253、NSC_93618、JFD03677、SEW06488和BTB093指极为重要,因为所有这些化合物都被发现符合潜在先导物的标准,超越了所有严格的筛选过程。然而,发现NSC_93618最具潜力,因为它具有更高的复合物稳定性,具有强结合相互作用,结合亲和力与乙酰唑胺相当。因此,这些提出的化合物将被证明在靶向CAIX以调节致癌作用方面是有效的。

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