Computer guided discovery and analysis of drug combination candidates by means of large-scale cell culture experiments
Funded by: Swedish Research Council (Vetenskapsrådet)
Time period: 2018-2021
Organizational project members: Uppsala university and RCL Uppsala University Hospital
About the project

is one central and illustrative outcome
of this project. Title: Algorithmic
discovery, development and
personalized selection of higher-
order drug cocktails.
This project aims at personalized drug treatment selection and accelerated drug combination discovery and analysis. Data are collected in large-scale cell culture experiments, where human cells are exposed to single compounds and chemical mixtures with a focus on Glioblastoma Multiforme (brain cancer). The expected result is the first experimental-computational infrastructure of its kind for evaluation of drug combination candidates, going beyond cell viability measurements by collecting also molecular and morphological readouts.
The project currently has a special focus on drug combinations containing more than two drugs (“higher order drug combinations”) and cellular secretion of proteins (“secretomics”).

Project leader: Mats Gustafsson
Project members: Hampus Söderberg, Ulf Hammerling, Efthymia Chantzi