Prediction of Optimal Drug Schedules for Controlling Autophagy.

ABSTRACT: The effects of molecularly targeted drug perturbations on cellular activities and fates are difficult to predict using intuition alone because of the complex behaviors of cellular regulatory networks. An approach to overcoming this problem is to develop mathematical models for predicting drug effects. Such an approach beckons for co-development of computational methods for extracting insights useful for guiding therapy selection and optimizing drug scheduling. Here, we present and evaluate a generalizable strategy for identifying drug dosing schedules that minimize the amount of drug needed to achieve sustained suppression or elevation of an important cellular activity/process, the recycling of cytoplasmic contents through (macro)autophagy. Therapeutic targeting of autophagy is currently b

SUBMITTER: Shirin A 

PROVIDER: S-EPMC6363771 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature