A new classifier-based strategy for in-silico ion-channel cardiac drug safety assessment.

ABSTRACT: There is currently a strong interest in using high-throughput in-vitro ion-channel screening data to make predictions regarding the cardiac toxicity potential of a new compound in both animal and human studies. A recent FDA think tank encourages the use of biophysical mathematical models of cardiac myocytes for this prediction task. However, it remains unclear whether this approach is the most appropriate. Here we examine five literature data-sets that have been used to support the use of four different biophysical models and one statistical model for predicting cardiac toxicity in numerous species using various endpoints. We propose a simple model that represents the balance between repolarisation and depolarisation forces and compare the predictive power of the model against the original

SUBMITTER: Mistry HB 

PROVIDER: S-EPMC4371651 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature