Bayesynergy: flexible Bayesian modelling of synergistic interaction effects in in vitro drug combination experiments.

ABSTRACT: The effect of cancer therapies is often tested pre-clinically via in vitro experiments, where the post-treatment viability of the cancer cell population is measured through assays estimating the number of viable cells. In this way, large libraries of compounds can be tested, comparing the efficacy of each treatment. Drug interaction studies focus on the quantification of the additional effect encountered when two drugs are combined, as opposed to using the treatments separately. In the bayesynergy R package, we implement a probabilistic approach for the description of the drug combination experiment, where the observed dose response curve is modelled as a sum of the expected response under a zero-interaction model and an additional interaction effect (synergistic or antagonistic). Although

SUBMITTER: Ronneberg L 

PROVIDER: S-EPMC8575029 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature