STELA Dairy Research Center, Nutraceuticals and Functional Foods Institute, Université Laval, Québec, QC, Canada.
Drug Discov Today. 2010 Jul;15(13-14):540-6. doi: 10.1016/j.drudis.2010.05.002. Epub 2010 May 26.
Databases and chemo- and bioinformatics tools that contain genomic, proteomic and functional information have become indispensable for antimicrobial drug research. The combination of chemoinformatics tools, bioinformatics tools and relational databases provides means of analyzing, linking and comparing online search results. The development of computational tools feeds on a diversity of disciplines, including mathematics, statistics, computer science, information technology and molecular biology. The computational approach to antimicrobial agent discovery and design encompasses genomics, molecular simulation and dynamics, molecular docking, structural and/or functional class prediction, and quantitative structure-activity relationships. This article reviews progress in the development of computational methods, tools and databases used for organizing and extracting biological meaning from antimicrobial research.
数据库以及包含基因组学、蛋白质组学和功能信息的化学信息学和生物信息学工具已成为抗菌药物研究不可或缺的手段。化学信息学工具、生物信息学工具和关系型数据库的组合提供了分析、链接和比较在线搜索结果的手段。计算工具的发展依赖于多个学科,包括数学、统计学、计算机科学、信息技术和分子生物学。抗菌药物发现和设计的计算方法包括基因组学、分子模拟和动力学、分子对接、结构和/或功能类别预测以及定量构效关系。本文综述了用于组织和从抗菌研究中提取生物学意义的计算方法、工具和数据库的开发进展。