Quantitative Structure-Activity Relationship Models to Predict Cardiac Adverse Effects.

ABSTRACT: Drug-induced cardiotoxicity represents one of the most common causes of attrition of drug candidates in preclinical and clinical development. For this reason, the evaluation of cardiac toxicity is essential during drug development and regulatory review. In the present study, drug-induced postmarket adverse event combinations from the FDA Adverse Event Reporting System were extracted for 2002 drugs using 243 cardiac toxicity-related preferred terms (PTs). These PTs were combined into 12 groups based on their clinical relevance to serve as training sets. The optimal classification scheme was determined using a combination of data sources that included drug labeling information, published literature, clinical study data, and postmarket surveillance data. Two commercial QSAR platforms were use

SUBMITTER: Mou Z 

PROVIDER: S-EPMC11653395 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature