Department of Pharmaceutical Sciences, University of Modena and Reggio Emilia, Via Campi 183, 41100 Modena, Italy.
Curr Top Med Chem. 2012;12(8):866-77. doi: 10.2174/156802612800166710.
In the last decades computer-aided drug design techniques have been successfully used to guide the selection of new hit compounds with biological activity. These methods, that include a broad range of chemoinformatic and computational chemistry algorithms, are still disciplines in full bloom. In particular, virtual screening procedures have celebrated a great popularity for the rapid and cost-effective assessment of large chemical libraries of commercial compounds. While the usage of in silico techniques promises an effective speed-up at the early-stage of the development of new active compounds, computational projects starting from scratch with raw chemical data are often associated with resource- and time-consuming preparation protocols, almost blunting the advantages of using these techniques. In order to help facing these difficulties, in the last years several chemoinformatic projects and tools have emerged in literature and have been useful in preparing curated databases of chemical compounds for high-throughput virtual screening purposes. The review will focus on the detailed analysis of free databases of commercial chemical compounds that are currently employed in virtual screening campaigns for drug design. The scope of this review is to compare such databases and suggest the reader on how and in which conditions the usage of these databases could be recommended.
在过去的几十年中,计算机辅助药物设计技术已成功用于指导具有生物活性的新型命中化合物的选择。这些方法包括广泛的化学信息学和计算化学算法,它们仍然是蓬勃发展的学科。特别是,虚拟筛选程序在快速、经济地评估商业化合物的大型化学库方面已经非常受欢迎。虽然使用计算技术可以在新型活性化合物的开发早期有效加快速度,但从头开始使用原始化学数据的计算项目通常与资源和时间消耗的准备协议相关联,几乎削弱了使用这些技术的优势。为了帮助解决这些困难,近年来,文献中出现了一些化学信息学项目和工具,这些工具在为高通量虚拟筛选目的准备经过精心整理的化合物数据库方面非常有用。这篇综述将重点分析目前用于药物设计虚拟筛选的商业化学化合物免费数据库,并就如何以及在何种条件下推荐使用这些数据库提出建议。