Systematic Analysis of Quantitative Logic Model Ensembles Predicts Drug Combination Effects on Cell Signaling Networks

A major challenge in developing anticancer therapies is determining the efficacies of drugs and their combinations in physiologically relevant microenvironments. We describe here our application of “constrained fuzzy logic” (CFL) ensemble modeling of the intracellular signaling network for predictin...

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Bibliographic Details
Published in:	CPT: pharmacometrics and systems pharmacology Vol. 5; no. 10; pp. 544 - 553
Main Authors:	Morris, MK, Clarke, DC, Osimiri, LC, Lauffenburger, DA
Format:	Journal Article
Language:	English
Published:	United States John Wiley & Sons, Inc 01.10.2016 John Wiley and Sons Inc
Subjects:	Cancer therapies Carcinoma, Hepatocellular - drug therapy Carcinoma, Hepatocellular - metabolism Computer Simulation Cytokines Cytokines - metabolism Drug Combinations Drug dosages Drug Therapy, Combination Experiments Fuzzy Logic Growth factors Hep G2 Cells Humans Kinases Knowledge Liver cancer Liver Neoplasms - drug therapy Liver Neoplasms - metabolism Methods Models, Theoretical Original Phosphorylation - drug effects Physiology Proteins R&D Research & development Signal Transduction - drug effects Software Systems Analysis Transcription Factors - metabolism Tumor Microenvironment - drug effects United States > US
ISSN:	2163-8306, 2163-8306
Online Access:	Get full text
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