Homology Modeling of Human Concentrative Nucleoside Transporters (hCNTs) and Validation by Virtual Screening and Experimental Testing to Identify Novel hCNT1 Inhibitors.

Drug designing : open access Pub Date : 2017-03-01 Epub Date: 2017-03-31 DOI:10.4172/2169-0138.1000146
Hemant Kumar Deokar, Hilaire Playa Barch, John K Buolamwini
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引用次数: 5

Abstract

Objective: The nucleoside transporter family is an emerging target for cancer, viral and cardiovascular diseases. Due to the difficulty in the expression, isolation and crystallization of membrane proteins, there is a lack of structural information on any of the mammalian and for that matter the human proteins. Thus the objective of this study was to build homology models for the three cloned concentrative nucleoside transporters hCNT1, hCNT2 and hCNT3 and validate them for screening towards the discovery of much needed inhibitors and probes.

Methods: The recently reported crystal structure of the Vibrio cholerae concentrative nucleoside transporter (vcCNT), has satisfactory similarity to the human CNT orthologues and was thus used as a template to build homology models of all three hCNTs. The Schrödinger modeling suite was used for the exercise. External validation of the homology models was carried out by docking a set of recently reported known hCNT1 nucleoside class inhibitors at the putative binding site using induced fit docking (IDF) methodology with the Glide docking program. Then, the hCNT1 homology model was subsequently used to conduct a virtual screening of a 360,000 compound library, and 172 compounds were obtained and biologically evaluated for hCNT 1, 2 and 3 inhibitory potency and selectivity.

Results: Good quality homology models were obtained for all three hCNTs as indicated by interrogation for various structural parameters and also external validated by docking of known inhibitors. The IDF docking results showed good correlations between IDF scores and inhibitory activities; particularly for hCNT1. From the top 0.1% of compounds ranked by virtual screening with the hCNT1 homology model, 172 compounds selected and tested for against hCNT1, hCNT2 and hCNT3, yielded 14 new inhibitors (hits) of (i.e., 8% success rate). The most active compound exhibited an IC50 of 9.05 μM, which shows a greater than 25-fold higher potency than phlorizin the standard CNT inhibitor (IC50 of 250 μM).

Conclusion: We successfully undertook homology modeling and validation for all human concentrative nucleoside transporters (hCNT 1, 2 and 3). The proof-of-concept that these models are promising for virtual screening to identify potent and selective inhibitors was also obtained using the hCNT1 model. Thus we identified a novel potent hCNT1 inhibitor that is more potent and more selective than the standard inhibitor phlorizin. The other hCNT1 hits also mostly exhibited selectivity. These homology models should be useful for virtual screening to identify novel hCNT inhibitors, as well as for optimization of hCNT inhibitors.

Abstract Image

Abstract Image

Abstract Image

人类浓缩核苷转运体(hCNTs)的同源性建模以及通过虚拟筛选和实验测试鉴定新型hCNT1抑制剂的验证
目的:核苷转运蛋白家族是治疗癌症、病毒和心血管疾病的新靶点。由于膜蛋白在表达、分离和结晶方面的困难,缺乏任何哺乳动物和人类蛋白质的结构信息。因此,本研究的目的是建立三个克隆的浓缩核苷转运体hCNT1, hCNT2和hCNT3的同源性模型,并验证它们的筛选,以发现急需的抑制剂和探针。方法:最近报道的霍乱弧菌浓缩核苷转运体(vcCNT)的晶体结构与人类碳纳米管同源物具有令人满意的相似性,因此被用作构建所有三种碳纳米管同源性模型的模板。在练习中使用了Schrödinger建模套件。同源性模型的外部验证是通过将一组最近报道的已知hCNT1核苷类抑制剂与Glide对接程序使用诱导匹配对接(IDF)方法对接到假定的结合位点进行的。随后,利用hCNT1同源性模型对360,000个化合物库进行虚拟筛选,获得172个化合物,并对hCNT1、2和3的抑制效力和选择性进行生物学评价。结果:通过对各种结构参数的查询以及对接已知抑制剂的外部验证,所有三种hCNTs均获得了高质量的同源模型。IDF对接结果显示,IDF评分与抑制活性之间存在良好的相关性;特别是对于hCNT1。利用hCNT1同源性模型进行虚拟筛选,从排名前0.1%的化合物中,选择172种化合物对hCNT1、hCNT2和hCNT3进行了测试,产生了14种新的抑制剂(命中)(即成功率为8%)。最有效化合物的IC50为9.05 μM,比标准碳纳米管抑制剂phenlorizin (IC50为250 μM)的效价高25倍以上。结论:我们成功地对所有人类浓缩核苷转运体(hCNT1, 2和3)进行了同源性建模和验证。使用hCNT1模型也获得了这些模型有望用于虚拟筛选以识别有效和选择性抑制剂的概念证明。因此,我们确定了一种新的有效的hCNT1抑制剂,它比标准抑制剂phlorizin更有效,更有选择性。其他hCNT1也大多表现出选择性。这些同源性模型应该有助于虚拟筛选,以确定新的hCNT抑制剂,以及优化hCNT抑制剂。
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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