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Drug Nomenclature

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Updated: Jun 28, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

A framework for characterizing drug information sources.

Mark Sharp¹, Olivier Bodenreider, Nina Wacholder

¹U.S. National Library of Medicine, Bethesda, MD, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|November 13, 2008

Summary

This summary is machine-generated.

Finding reliable drug information is challenging due to numerous, diverse sources. This study proposes a 39-dimension framework to categorize and compare these drug information resources for better selection.

Related Experiment Videos

Last Updated: Jun 28, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Area of Science:

Pharmacology
Biomedical Informatics
Drug Discovery

Background:

Drug information is complex, voluminous, heterogeneous, and dynamic.
Multiple sources exist, but no integrated view aids in selecting appropriate resources for specific purposes.

Purpose of the Study:

To develop a framework for characterizing drug information sources.
To evaluate the utility of this framework for comparing and selecting relevant sources.

Main Methods:

Examined 23 drug information sources across pharmacy, chemistry, biology, and clinical medicine domains.
Categorized drug information content using 39 distinct dimensions.

Main Results:

A comprehensive list of 39 dimensions was established to characterize drug information content.
The proposed framework demonstrated utility in comparing sources and identifying the most relevant ones for specific use cases.

Conclusions:

The 39-dimension framework effectively characterizes drug information sources.
This framework aids researchers and clinicians in navigating and selecting appropriate drug information resources.