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Expert Opin Drug Metab Toxicol. 2007 Oct;3(5):635-9. doi: 10.1517/17425255.3.5.635.
2
Progress in QSAR toxicity screening of pharmaceutical impurities and other FDA regulated products.药物杂质及其他FDA监管产品的定量构效关系毒性筛选研究进展。
Adv Drug Deliv Rev. 2007 Jan 10;59(1):43-55. doi: 10.1016/j.addr.2006.10.008. Epub 2006 Nov 15.
3
A flexible approach for optimising in silico ADME/Tox characterisation of lead candidates.一种用于优化先导化合物计算机辅助ADME/Tox特性描述的灵活方法。
Expert Opin Drug Metab Toxicol. 2006 Feb;2(1):157-68. doi: 10.1517/17425255.2.1.157.
4
A model validation and consensus building environment.一个模型验证与共识构建环境。
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Chemical structure indexing of toxicity data on the internet: moving toward a flat world.互联网上毒性数据的化学结构索引:迈向扁平世界
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Guidelines for developing and using quantitative structure-activity relationships.定量构效关系的开发与应用指南。
Environ Toxicol Chem. 2003 Aug;22(8):1653-65. doi: 10.1897/01-627.
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Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.在国际决策框架中使用定量构效关系来预测化学物质对健康的影响。
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How to escape the bottleneck of medicinal chemistry.如何突破药物化学的瓶颈。
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从美国食品药品监督管理局(FDA)药品档案中提取相关信息,使用“万事通”创建一个结构多样的药物数据库。

Extracting Relevant Information from FDA Drug Files to Create a Structurally Diverse Drug Database Using KnowItAll.

作者信息

D'Souza Malcolm J, Koyoshi Fumie

机构信息

Department of Chemistry, Wesley College, 120 N. State Street, Dover, Delaware 19901-3875, USA.

出版信息

Pharm Rev. 2009 May 8;7(3).

PMID:25356090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4209477/
Abstract

Each Food and Drug Administration (FDA) consumer drug information file contains an inordinate amount of useful chemical, pharmaceutical, and pharmacological data. These files profile approved drugs by chemical structure, solubility, absorption, distribution, metabolism, elimination, toxicity (ADME/Tox), and possible adverse reactions. The ability to utilize this data in the classroom is a new approach to connect theory, technology, and reality. The KnowItAll Informatics System available through Bio-Rad Laboratories, Philadelphia, PA, offers fully integrated software and/or database desktop solutions. It holds a large collection of ADME/Tox predictors and is a chemical informatics platform used to record experimental data. This project had three goals: (1) extract relevant information for 75 drugs from their freely available FDA drug files (limited to orally administrated drugs, pro-drugs, having a chemical structure), (2) build a database so this extracted FDA information is indexed for search and analysis, and when completed, (3) undergraduates involved in such a project should be capable of harvesting useful chemical, pharmaceutical, and pharmacological information; be adept in computational chemistry software tools; and should gain an enhanced vocabulary and new insights into organic chemistry, molecular biology, and physiology.

摘要

美国食品药品监督管理局(FDA)的每份消费者药品信息文件都包含大量有用的化学、制药和药理学数据。这些文件按化学结构、溶解度、吸收、分布、代谢、消除、毒性(ADME/Tox)以及可能的不良反应对已批准药物进行剖析。在课堂上利用这些数据的能力是一种将理论、技术和现实联系起来的新方法。通过位于宾夕法尼亚州费城的伯乐生命医学产品公司(Bio-Rad Laboratories)可获得的KnowItAll信息系统提供了完全集成的软件和/或数据库桌面解决方案。它拥有大量的ADME/Tox预测器,是一个用于记录实验数据的化学信息学平台。该项目有三个目标:(1)从FDA免费提供的药品文件中提取75种药物的相关信息(限于口服给药药物、前体药物,且具有化学结构),(2)建立一个数据库,以便对提取的FDA信息进行索引,用于搜索和分析,并且在完成时,(3)参与该项目的本科生应能够获取有用的化学、制药和药理学信息;熟练掌握计算化学软件工具;并应增加词汇量,对有机化学、分子生物学和生理学有新的见解。