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Complex versus simple models: ion-channel cardiac toxicity prediction.

ABSTRACT: There is growing interest in applying detailed mathematical models of the heart for ion-channel related cardiac toxicity prediction. However, a debate as to whether such complex models are required exists. Here an assessment in the predictive performance between two established large-scale biophysical cardiac models and a simple linear model Bnet was conducted. Three ion-channel data-sets were extracted from literature. Each compound was designated a cardiac risk category using two different classification schemes based on information within CredibleMeds. The predictive performance of each model within each data-set for each classification scheme was assessed via a leave-one-out cross validation. Overall the Bnet model performed equally as well as the leading cardiac models in two of the data-sets and outperformed both cardiac models on the latest. These results highlight the importance of benchmarking complex versus simple models but also encourage the development of simple models.

SUBMITTER: Mistry HB

PROVIDER: S-EPMC5804316 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Complex versus simple models: ion-channel cardiac toxicity prediction.

Mistry Hitesh B HB

PeerJ 20180205

There is growing interest in applying detailed mathematical models of the heart for ion-channel related cardiac toxicity prediction. However, a debate as to whether such complex models are required exists. Here an assessment in the predictive performance between two established large-scale biophysical cardiac models and a simple linear model <i>B</i><sub>net</sub> was conducted. Three ion-channel data-sets were extracted from literature. Each compound was designated a cardiac risk category using ...[more]

PMID: 29423349

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Dataset Information

Complex versus simple models: ion-channel cardiac toxicity prediction.

Publications

Complex versus simple models: ion-channel cardiac toxicity prediction.

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