Validation of in silico biomarkers for drug screening through ordinal logistic regression.

ABSTRACT: Since the Comprehensive in vitro Proarrhythmia Assay (CiPA) initiation, many studies have suggested various in silico features based on ionic charges, action potentials (AP), or intracellular calcium (Ca) to assess proarrhythmic risk. These in silico features are computed through electrophysiological simulations using in vitro experimental datasets as input, therefore changing with the quality of in vitro experimental data; however, research to validate the robustness of in silico features for proarrhythmic risk assessment of drugs depending on in vitro datasets has not been conducted. This study aims to verify the availability of in silico features commonly used in assessing the cardiac toxicity of drugs through an ordinal logistic r

SUBMITTER: Jeong DU 

PROVIDER: S-EPMC9583152 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature