Building 3D structural databases: Experiences with MDDR-3D and FCD-3D

Douglas R. Henry, Phil J. McHale, Bradley D. Christie, Daniel Hillman
{"title":"Building 3D structural databases: Experiences with MDDR-3D and FCD-3D","authors":"Douglas R. Henry,&nbsp;Phil J. McHale,&nbsp;Bradley D. Christie,&nbsp;Daniel Hillman","doi":"10.1016/0898-5529(90)90155-2","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90155-2","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tetrahedron Computer Methodology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0898552990901552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
建立3D结构数据库:有使用mdr -3D和FCD-3D的经验
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Contributors to this issue Introduction Contributors to this issue Errata Contributors to this issue
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1