期刊
NUCLEIC ACIDS RESEARCH
卷 50, 期 D1, 页码 D1307-D1316出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab918
关键词
-
资金
- Intramural Research Program of the National Institutes of Health, National Center for Advancing Translational Sciences
The United States has a complex regulatory scheme for marketing drugs. NCATS has developed Inxight Drugs, a web resource that integrates data from FDA, US government publications, and other sources to provide a wealth of manually curated literature data on drug ingredients and regulatory status. The database contains over 125,000 product ingredients, including approved, marketed, and investigational drugs, and is regularly updated using automated data aggregation tools.
The United States has a complex regulatory scheme for marketing drugs. Understanding drug regulatory status is a daunting task that requires integrating data from many sources from the United States Food and Drug Administration (FDA), US government publications, and other processes related to drug development. At NCATS, we created Inxight Drugs (https://drugs.ncats.io), a web resource that attempts to address this challenge in a systematic manner. NCATS Inxight Drugs incorporates and unifies a wealth of data, including those supplied by the FDA and from independent public sources. The database offers a substantial amount of manually curated literature data unavailable from other sources. Currently, the database contains 125 036 product ingredients, including 2566 US approved drugs, 6242 marketed drugs, and 9684 investigational drugs. All substances are rigorously defined according to the ISO 11238 standard to comply with existing regulatory standards for unique drug substance identification. A special emphasis was placed on capturing manually curated and referenced data on treatment modalities and semantic relationships between substances. A supplementary resource 'Novel FDA Drug Approvals' features regulatory details of newly approved FDA drugs. The database is regularly updated using NCATS Stitcher data integration tool that automates data aggregation and supports full data access through a RESTful API.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据