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Freely accessible databases of commercial compounds for high-throughput virtual screenings

机译:可免费访问的商业化合物数据库,用于高通量虚拟筛选

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摘要

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.
机译: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,仍然是一门盛开的学科。特别是,虚拟筛选程序在快速,经济高效地评估大型商业化合物库中广受欢迎。尽管计算机技术的使用有望在新活性化合物开发的早期阶段有效地加快速度,但从头开始以原始化学数据为基础的计算项目通常与耗时且耗时的制备方案相关联,几乎变得乏味使用这些技术的优势。为了帮助面对这些困难,最近几年,文献中出现了一些化学信息学项目和工具,这些工具和工具可用于准备用于高通量虚拟筛选目的的化合物的精选数据库。审查将集中于对目前用于药物设计虚拟筛选活动的商业化合物免费数据库的详细分析。这篇综述的范围是比较这些数据库,并建议读者如何以及在何种情况下建议使用这些数据库。

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