Nonlinear mixed effects dose response modeling in high throughput drug screens: application to melanoma cell line analysis.

ABSTRACT: Cancer cell lines are often used in high throughput drug screens (HTS) to explore the relationship between cell line characteristics and responsiveness to different therapies. Many current analysis methods infer relationships by focusing on one aspect of cell line drug-specific dose-response curves (DRCs), the concentration causing 50% inhibition of a phenotypic endpoint (IC₅₀). Such methods may overlook DRC features and do not simultaneously leverage information about drug response patterns across cell lines, potentially increasing false positive and negative rates in drug response associations. We consider the application of two methods, each rooted in nonlinear mixed effects (NLME) models, that test the relationship relationships between estimated cell line DRCs and factors t

SUBMITTER: Ding KF 

PROVIDER: S-EPMC5797032 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature