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基于药效团建模、基于原子的三维定量构效关系和分子对接方法筛选C-X-C趋化因子受体4拮抗剂作为人类免疫缺陷病毒-1的杀菌剂。

Pharmacophore modeling, atom based 3D-QSAR and Molecular docking approaches to screen C-X-C chemokine receptor type 4 antagonists as microbicides for human immunodeficiency virus-1.

作者信息

Ramachandran Radhika, Piramanyagam Shanmughavel

机构信息

Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu 641 046 India.

出版信息

Virusdisease. 2017 Sep;28(3):272-280. doi: 10.1007/s13337-017-0397-1. Epub 2017 Sep 26.

Abstract

The C-X-C chemokine receptor type 4 receptor CXCR4 which acts as a co-receptor for human immunodeficiency virus-1, expressed in the later stages of infection is considered as an attractive and new target for drug design. Microbicides acting as co-receptor blockers are highly significant as these drugs block HIV lifecycle at early stage itself. The urgent need for a safe and effective microbicide urges to explore new CXCR4 antagonists which could be developed as microbicides. The pharmacophore based 3D-QSAR models and docking models were developed using PHASE and GLIDE modules of Schrodinger software. Three-dimensional quantitative structure-activity relationships (3D-QSAR) studies and pharmacophore modelling was carried out on a dataset of 114 CXCR4 antagonists with the intention of exploring entry inhibitors with better therapeutic potential. A training set of 43 compounds was used to create 3D-QSAR models and they were validated using a test set of 28 compounds. CXCR4 antagonists with good inhibitory activity could be designed and structurally modified based upon the QSAR model developed with necessary pharmacophore features. The results revealed that the common pharmacophore hypothesis ADHPR.1 was used for 3D-QSAR model development and the most active compound, CXCR4 antagonist no.44 which is a imidazopyridine-tetrahydro-8-quinolinamine derivative interacted with the CXCR4 receptor residue ASP 97 by the formation of a hydrogen bond. Also, the docking studies were carried out for the dataset for analyzing the binding conformation of CXCR4 and 114 antagonists. The results obtained from the 3D-QSAR studies and docking simulation can be used for designing new and potent CXCR4 antagonists. The compound identified from this study can be taken up further for validation by in vitroin vivo studies.

摘要

C-X-C趋化因子受体4型受体CXCR4作为人类免疫缺陷病毒1型的共受体,在感染后期表达,被认为是药物设计中一个有吸引力的新靶点。作为共受体阻滞剂的杀微生物剂非常重要,因为这些药物可在HIV生命周期的早期阶段阻断其进程。对安全有效的杀微生物剂的迫切需求促使人们探索可开发为杀微生物剂的新型CXCR4拮抗剂。基于药效团的3D-QSAR模型和对接模型是使用薛定谔软件的PHASE和GLIDE模块开发的。对114种CXCR4拮抗剂的数据集进行了三维定量构效关系(3D-QSAR)研究和药效团建模,旨在探索具有更好治疗潜力的进入抑制剂。使用43种化合物的训练集创建3D-QSAR模型,并使用28种化合物的测试集对其进行验证。基于所开发的具有必要药效团特征的QSAR模型,可以设计并对具有良好抑制活性的CXCR4拮抗剂进行结构修饰。结果表明,通用药效团假设ADHPR.1用于3D-QSAR模型开发,活性最高的化合物CXCR4拮抗剂44号(一种咪唑并吡啶-四氢-8-喹啉胺衍生物)通过形成氢键与CXCR4受体残基ASP 97相互作用。此外,还对该数据集进行了对接研究以分析CXCR4与114种拮抗剂的结合构象。从3D-QSAR研究和对接模拟中获得的结果可用于设计新型强效CXCR4拮抗剂。本研究中鉴定出的化合物可进一步通过体外和体内研究进行验证。

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