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计算机辅助药物设计

Computer-aided drug designing.

作者信息

Gore Mohini, Desai Neetin S

机构信息

Department of Biotechnology and Bioinformatics, Padmashree Dr. D.Y. Patil University, Sector No-15/50, CBD Belapur, Navi Mumbai, Mumbai, 400 614, MS, India.

出版信息

Methods Mol Biol. 2014;1168:313-21. doi: 10.1007/978-1-4939-0847-9_18.

Abstract

Computer-aided drug designing has emerged as a cost-effective and rapid tool for the discovery of newer therapeutic agents. Several algorithms have been developed to analyze protein structure and function, to identify interacting ligands, active site residues, and to study protein-ligand interactions, which can eventually lead to the identification of new drugs. In silico drug designing involves identification of the target protein which is responsible for the development of the disease under study. The three-dimensional structure of the protein can be predicted using homology modeling, while molecular docking is applied to study the interaction of a drug molecule with the protein. The best orientation of the ligand-protein docked structure which has overall minimum energy needs to be obtained. In silico methods can be used to identify potential drugs for various diseases. Thus, computer-aided drug designing has become an indispensible and integral part of the drug discovery process.

摘要

计算机辅助药物设计已成为发现新型治疗药物的一种经济高效且快速的工具。已经开发了多种算法来分析蛋白质结构和功能、识别相互作用的配体、活性位点残基,并研究蛋白质 - 配体相互作用,这最终可能导致新药的发现。计算机辅助药物设计涉及识别与所研究疾病发展相关的靶蛋白。蛋白质的三维结构可以通过同源建模来预测,而分子对接则用于研究药物分子与蛋白质的相互作用。需要获得具有总体最低能量的配体 - 蛋白质对接结构的最佳取向。计算机辅助方法可用于识别针对各种疾病的潜在药物。因此,计算机辅助药物设计已成为药物发现过程中不可或缺的一部分。

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