Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models.

ABSTRACT: In silico methods can be used for an early assessment of arrhythmogenic properties of drug candidates. However, their use for decision-making is conditioned by the possibility to estimate the predictions' uncertainty. This work describes our efforts to develop uncertainty quantification methods for the predictions produced by multi-level proarrhythmia models. In silico models used in this field usually start with experimental or predicted IC₅₀ values that describe drug-induced ion channel blockade. Using such inputs, an electrophysiological model computes how the ion channel inhibition, exerted by a drug in a certain concentration, translates to an altered shape and duration of the action potential in cardiac cells, which can be represented as arrhythmogenic risk biomarkers such

SUBMITTER: Kopanska K 

PROVIDER: S-EPMC10474996 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature