Krüger Jens, Thiel Philipp, Merelli Ivan, Grunzke Richard, Gesing Sandra
Applied Bioinformatics Group, Department of Computer Science, Eberhard Karls Universität Tübingen, Sand 14, 72076 Tübingen, Germany.
Curr Drug Targets. 2016;17(14):1649-1660. doi: 10.2174/1389450117666160201105806.
Virtual screening for active compounds has become an essential step within the drug development pipeline. The computer based prediction of compound binding modes is one of the most time and cost efficient methods for screening ligand libraries and enrich results of potential drugs. Here we present an overview about currently available online resources regarding compound databases, docking applications, and science gateways for drug discovery and virtual screening, in order to help structural biologists in choosing the best tools for their analysis. The appearance of the user interface, authentication and security aspects, data management, and computational performance will be discussed. We anticipate a broad overview about currently available solutions, guiding computational chemists and users from related fields towards scientifically reliable results.
活性化合物的虚拟筛选已成为药物研发流程中的关键步骤。基于计算机预测化合物的结合模式是筛选配体库并富集潜在药物结果最省时且经济高效的方法之一。在此,我们概述了目前可用于药物发现和虚拟筛选的化合物数据库、对接应用程序及科学网关等在线资源,以帮助结构生物学家选择最适合其分析的工具。我们将讨论用户界面的外观、认证与安全方面、数据管理以及计算性能。我们期望能全面概述当前可用的解决方案,引导计算化学家及相关领域的用户获得科学可靠的结果。