A middle-out modeling strategy to extend a colon cancer logical model improves drug synergy predictions in epithelial-derived cancer cell lines

E Tsirvouli, V Touré, B Niederdorfer… - Frontiers in molecular …, 2020 - frontiersin.org
Cancer is a heterogeneous and complex disease and one of the leading causes of death
worldwide. The high tumor heterogeneity between individuals affected by the same cancer …

Synergistic effects of complex drug combinations in colorectal cancer cells predicted by logical modelling

E Folkesson, BC Sakshaug, AD Hoel… - Frontiers in Systems …, 2023 - frontiersin.org
Drug combinations have been proposed to combat drug resistance in cancer, but due to the
large number of possible drug targets, in vitro testing of all possible combinations of drugs is …

Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization

Å Flobak, J Zobolas, M Vazquez… - Frontiers in Systems …, 2023 - frontiersin.org
Treatment with combinations of drugs carries great promise for personalized therapy for a
variety of diseases. We have previously shown that synergistic combinations of cancer …

Article commentary: Predictive modeling of drug treatment in the area of personalized medicine

LA Ogilvie, C Wierling, T Kessler… - Cancer …, 2015 - journals.sagepub.com
Despite a growing body of knowledge on the mechanisms underlying the onset and
progression of cancer, treatment success rates in oncology are at best modest. Current …

Discovery of drug synergies in gastric cancer cells predicted by logical modeling

Å Flobak, A Baudot, E Remy… - PLoS computational …, 2015 - journals.plos.org
Discovery of efficient anti-cancer drug combinations is a major challenge, since
experimental testing of all possible combinations is clearly impossible. Recent efforts to …

Strategies to enhance logic modeling-based cell line-specific drug synergy prediction

B Niederdorfer, V Touré, M Vazquez… - Frontiers in …, 2020 - frontiersin.org
Discrete dynamical modeling shows promise in prioritizing drug combinations for screening
efforts by reducing the experimental workload inherent to the vast numbers of possible drug …

Methodological challenges in translational drug response modeling in cancer: a systematic analysis with FORESEE

LK Schätzle, A Hadizadeh Esfahani… - PLoS Computational …, 2020 - journals.plos.org
Translational models directly relating drug response specific processes that can be
observed in vitro to their in vivo role in cancer patients constitute a crucial part of the …

A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling

C Piyawajanusorn, LC Nguyen, G Ghislat… - Briefings in …, 2021 - academic.oup.com
A central goal of precision oncology is to administer an optimal drug treatment to each
cancer patient. A common preclinical approach to tackle this problem has been to …

Models of models: a translational route for cancer treatment and drug development

LA Ogilvie, A Kovachev, C Wierling, BMH Lange… - Frontiers in …, 2017 - frontiersin.org
Every patient and every disease is different. Each patient therefore requires a personalized
treatment approach. For technical reasons, a personalized approach is feasible for treatment …

Network propagation predicts drug synergy in cancers

H Li, T Li, D Quang, Y Guan - Cancer research, 2018 - AACR
Combination therapies are commonly used to treat patients with complex diseases that
respond poorly to single-agent therapies. In vitro high-throughput drug screening is a …