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Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discovery.

机译:药物化学和分子操作环境(MOE):QSAR和分子对接在药物发现中的应用。

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摘要

The search for new compounds with a given biological activity requires enormous effort in terms of manpower and cost. This effort arises from the large number of compounds that need to be synthesized and subsequently biologically evaluated. For this reason the pharmaceutical industry has shown great interest in theoretical methods that enable the rational design of pharmaceutical agents. In the last years bioinformatics has experienced a great evolution due to the development of specialized software and to the increasing computer power. The codification of the structural information of molecules through molecular descriptors and the subsequent data analysis allow establishing QSAR models (Quantitative Structure-Activity Relationship) that can be applied to the design and the virtual screening of new drugs. The development of sophisticated Docking methodologies also allows a more accurate predict of the biological activity of molecules. Moreover, through this type of computational techniques and theoretical approaches, it is possible to develop explanatory hypothesis on the mechanism of action of drugs. This work provides a brief description of a series of studies implemented in the software MOE (Molecular Operating Environment) with particular attention to the medicinal chemistry aspects.
机译:寻找具有给定生物活性的新化合物需要大量的人力和成本。这种努力源自需要合成并随后进行生物学评估的大量化合物。由于这个原因,制药业对使药物制剂合理设计的理论方法表现出极大的兴趣。在过去的几年中,由于专用软件的发展和计算机功能的增强,生物信息学经历了巨大的发展。通过分子描述符对分子的结构信息进行编码以及随后的数据分析,可以建立QSAR模型(​​定量结构-活性关系),该模型可用于新药的设计和虚拟筛选。先进的对接方法学的发展也使得可以更准确地预测分子的生物活性。而且,通过这种类型的计算技术和理论方法,有可能对药物的作用机理进行解释性假设。这项工作简要介绍了在软件MOE(分子操作环境)中实施的一系列研究,尤其是对药物化学方面的关注。

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