Drug Safety Data Curation and Modeling in ChEMBL: Boxed Warnings and Withdrawn Drugs

Area of Science:

• Pharmacovigilance and Drug Safety
• Medicinal Chemistry
• Bioinformatics

Background:

• Marketed drug safety is a significant concern, with some widely prescribed medications causing severe adverse effects.
• Existing safety information is often fragmented and requires expert curation for effective use in drug discovery.

Purpose of the Study:

• To curate and integrate drug safety data, including toxicity classifications, into a centralized resource.
• To enhance the ChEMBL database with comprehensive safety information for approved drugs.
• To support drug discovery efforts by providing accessible safety-related data.

Main Methods:

• Safety data was curated from medicinal product labels, focusing on withdrawn status and black box warnings.
• Toxicity classes were assigned based on identified safety information.
• The curated safety dataset was integrated into the ChEMBL database framework.

Main Results:

• A curated drug safety dataset has been established, incorporating toxicity classifications.
• This dataset includes information on marketed drugs, linking safety profiles to bioactivity data.
• The ChEMBL resource now houses this integrated drug safety information.

Conclusions:

• The integrated drug safety dataset in ChEMBL provides a valuable resource for addressing drug safety questions.
• Freely accessible safety data can significantly aid researchers in drug discovery and development.
• Future releases of ChEMBL will include updated and expanded drug safety information.