Douglas R. Henry, Phil J. McHale, Bradley D. Christie, Daniel Hillman
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引用次数: 13
Abstract
The process of building large three-dimensional (3D) structural databases of commercial quality presents several unique challenges. The concerns which must be faced include database size, method of 3D structure generation, batch implementation of modeling and registration, correspondence with two-dimensional structures, and quality assurance of the resulting 3D structures. We describe procedures which were developed to build two databases with CONCORD: MACCS-II Drug Data Report-3D (MDDR-3D) and Fine Chemicals Directory-3D (FCD-3D). These procedures were developed to overcome limitations in the modeling process and to increase the efficiency and reliability of registration. This paper describes these programs and techniques, and reports on their performance in building large 3D structural databases.
构建具有商业质量的大型三维(3D)结构数据库的过程提出了几个独特的挑战。必须面对的问题包括数据库大小、三维结构生成方法、批量实现建模和注册、与二维结构的对应以及生成的三维结构的质量保证。我们描述了建立CONCORD两个数据库的程序:MACCS-II药物数据报告- 3d (mdr - 3d)和精细化学品目录- 3d (FCD-3D)。开发这些程序是为了克服建模过程中的局限性,提高配准的效率和可靠性。本文描述了这些程序和技术,并报告了它们在构建大型三维结构数据库中的性能。