Global Substance Registration System: consistent scientific descriptions for substances related to health
Author(s) -
Tyler Peryea,
Noel Southall,
Mitch Miller,
Daniel Katzel,
Niko Anderson,
Jorge Neyra,
Sarah Stemann,
Ðắc-Trung Nguyễn,
Dammika Amugoda,
Archaewatia,
Ramez Ghazzaoui,
Elaine Johanson,
Herman Diederik,
Larry Callahan,
Frank Switzer
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa962
Subject(s) - identification (biology) , translational science , agency (philosophy) , identifier , publication , food and drug administration , translational research , database , resource (disambiguation) , data science , biology , business , computer science , pharmacology , microbiology and biotechnology , medicine , pathology , computer network , philosophy , botany , epistemology , advertising , programming language
The US Food and Drug Administration (FDA) and the National Center for Advancing Translational Sciences (NCATS) have collaborated to publish rigorous scientific descriptions of substances relevant to regulated products. The FDA has adopted the global ISO 11238 data standard for the identification of substances in medicinal products and has populated a database to organize the agency's regulatory submissions and marketed products data. NCATS has worked with FDA to develop the Global Substance Registration System (GSRS) and produce a non-proprietary version of the database for public benefit. In 2019, more than half of all new drugs in clinical development were proteins, nucleic acid therapeutics, polymer products, structurally diverse natural products or cellular therapies. While multiple databases of small molecule chemical structures are available, this resource is unique in its application of regulatory standards for the identification of medicinal substances and its robust support for other substances in addition to small molecules. This public, manually curated dataset provides unique ingredient identifiers (UNIIs) and detailed descriptions for over 100 000 substances that are particularly relevant to medicine and translational research. The dataset can be accessed and queried at https://gsrs.ncats.nih.gov/app/substances.
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