...
首页> 外文期刊>Combinatorial chemistry & high throughput screening >The Current Status of Antimalarial Drug Research with Special Reference to Application of QSAR Models
【24h】

The Current Status of Antimalarial Drug Research with Special Reference to Application of QSAR Models

机译:QSAR模型在抗疟药物研究中的应用现状

获取原文
获取原文并翻译 | 示例
           

摘要

Malaria, the most virulent parasitic disease, has become a devastating health problem in tropical and subtropical regions, especially in Africa, due to favorable temperature and rainfall conditions for the development of the causative vector. Due to the spread of multidrug resistance to the marketed antimalarial drugs including the "magic bullet" artemisinin, discovery and development of new antimalarial drugs is one of the utmost challenges. Different government and non-government chemical regulatory authorities have recommended the application of non-animal, alternative techniques and in particular, in silico, methods in order to provide information about the basic physicochemical properties as well as the ecological and human health effects of chemicals before they reach into the market for public use. In this aspect, application of chemometric methods along with structure-based approaches may be useful for the design and discovery of new antimalarial compounds. The quantitative structureactivity relationship (QSAR) along with molecular docking and pharmacophore modeling techniques play a crucial role in the field of drug design. QSAR focuses on the chemical attributes influencing the activity and thereby allows synthesis of selective potential candidate molecules. In this communication, we have reviewed the QSAR reports along with some pharmacophore modeling and docking studies of antimalarial agents published during the year 2011 to 2014 and attempted to focus on the importance of physicochemical properties and structural features required for antimalarial activity of different chemical classes of compounds. Note that this is not an exhaustive review and all the given examples should be considered as the representative ones. The reader will gain an insight of the current status of QSAR and related in silico models developed for different classes of antimalarial compounds. This review suggests that combination of both ligand and structure-based drug designing approaches may be a promising tool for the discovery and development of new molecules with potential antimalarial activity.
机译:疟疾是最致命的寄生虫病,由于形成病原体的有利温度和降雨条件,在热带和亚热带地区,特别是在非洲,已经成为破坏性的健康问题。由于对包括“魔术子弹”青蒿素在内的市售抗疟药的多药耐药性传播,发现和开发新的抗疟药是最大的挑战之一。不同的政府和非政府化学监管机构建议应用非动物替代技术,尤其是计算机技术,以提供有关化学药品的基本理化特性以及生态和人类健康影响的信息。他们进入市场供公众使用。在这方面,化学计量学方法与基于结构的方法一起应用可能对设计和发现新的抗疟疾化合物有用。定量构效关系(QSAR)以及分子对接和药效团建模技术在药物设计领域起着至关重要的作用。 QSAR专注于影响活性的化学属性,因此可以合成选择性潜在的候选分子。在本交流中,我们回顾了QSAR报告以及2011年至2014年间发表的一些抗疟药药效团模型和对接研究,并尝试着重于研究不同化学类别的抗疟活性所需的理化性质和结构特征的重要性。化合物。请注意,这不是详尽的综述,所有给出的示例都应视为具有代表性的示例。读者将了解QSAR的现状以及针对不同类别的抗疟疾化合物开发的相关计算机模拟模型。这项审查表明,配体和基于结构的药物设计方法的组合可能是发现和开发具有潜在抗疟疾活性的新分子的有前途的工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号