Descubrimiento y desarrollo de fármacos: un enfoque computacional

Q4 Social Sciences
Fernanda Saldívar-González, Fernando D. Prieto-Martínez, José L. Medina-Franco
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引用次数: 17

Abstract

Drug discovery is a complex and expensive process where different research areas converge. Computational methods have been part of the multidisciplinary efforts and their principles should be included in courses of Medicinal Chemistry. In a given project, the application of computational approaches depends on the information available for the system and the specific goals of the study. Computational approaches have made key contributions to perform efficient analyses of data, filtering compounds collections to select molecules for experimental screening, generate hypothesis to understand the mechanism of action of drugs, and the design of new chemical structures. In addition, computational methods have made significant contributions to develop drugs that are in clinical use. However, there are several challenges to face. Addressing these challenges promote innovation and improvement of methodologies that form part of the multidisciplinary effort to develop drugs.

药物发现与开发:计算方法
药物发现是一个复杂而昂贵的过程,不同的研究领域汇聚在一起。计算方法已成为多学科努力的一部分,其原理应包括在药物化学课程中。在给定的项目中,计算方法的应用取决于系统可用的信息和研究的具体目标。计算方法在执行有效的数据分析,过滤化合物集合以选择用于实验筛选的分子,生成假设以了解药物的作用机制以及设计新的化学结构方面做出了关键贡献。此外,计算方法对开发临床使用的药物做出了重大贡献。然而,有几个挑战需要面对。应对这些挑战可促进方法的创新和改进,这些方法是开发药物的多学科努力的一部分。
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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来源期刊
Educacion Quimica
Educacion Quimica Social Sciences-Education
CiteScore
0.70
自引率
0.00%
发文量
78
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