Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway

10.1038/srep40752

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Bibliographic Details
Main Authors:	Huang, L, Jiang, Y, Chen, Y
Other Authors:	PHARMACY
Format:	Article
Published:	2020
Subjects:	antineoplastic agent B Raf kinase epidermal growth factor receptor mitogen activated protein kinase protein kinase inhibitor cell proliferation computer simulation drug effect human metabolism signal transduction theoretical model tumor cell line Antineoplastic Agents Antineoplastic Combined Chemotherapy Protocols Cell Line, Tumor Cell Proliferation Computer Simulation Extracellular Signal-Regulated MAP Kinases Humans Models, Theoretical Protein Kinase Inhibitors Proto-Oncogene Proteins B-raf Receptor, Epidermal Growth Factor Signal Transduction
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/173946
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1739462024-04-05T09:03:22Z Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway Huang, L Jiang, Y Chen, Y PHARMACY antineoplastic agent B Raf kinase epidermal growth factor receptor mitogen activated protein kinase protein kinase inhibitor cell proliferation computer simulation drug effect human metabolism signal transduction theoretical model tumor cell line Antineoplastic Agents Antineoplastic Combined Chemotherapy Protocols Cell Line, Tumor Cell Proliferation Computer Simulation Extracellular Signal-Regulated MAP Kinases Humans Models, Theoretical Protein Kinase Inhibitors Proto-Oncogene Proteins B-raf Receptor, Epidermal Growth Factor Signal Transduction 10.1038/srep40752 Scientific Reports 7 40752 2020-09-02T06:38:04Z 2020-09-02T06:38:04Z 2017 Article Huang, L, Jiang, Y, Chen, Y (2017). Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway. Scientific Reports 7 : 40752. ScholarBank@NUS Repository. https://doi.org/10.1038/srep40752 20452322 https://scholarbank.nus.edu.sg/handle/10635/173946 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	antineoplastic agent B Raf kinase epidermal growth factor receptor mitogen activated protein kinase protein kinase inhibitor cell proliferation computer simulation drug effect human metabolism signal transduction theoretical model tumor cell line Antineoplastic Agents Antineoplastic Combined Chemotherapy Protocols Cell Line, Tumor Cell Proliferation Computer Simulation Extracellular Signal-Regulated MAP Kinases Humans Models, Theoretical Protein Kinase Inhibitors Proto-Oncogene Proteins B-raf Receptor, Epidermal Growth Factor Signal Transduction
spellingShingle	antineoplastic agent B Raf kinase epidermal growth factor receptor mitogen activated protein kinase protein kinase inhibitor cell proliferation computer simulation drug effect human metabolism signal transduction theoretical model tumor cell line Antineoplastic Agents Antineoplastic Combined Chemotherapy Protocols Cell Line, Tumor Cell Proliferation Computer Simulation Extracellular Signal-Regulated MAP Kinases Humans Models, Theoretical Protein Kinase Inhibitors Proto-Oncogene Proteins B-raf Receptor, Epidermal Growth Factor Signal Transduction Huang, L Jiang, Y Chen, Y Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
description	10.1038/srep40752
author2	PHARMACY
author_facet	PHARMACY Huang, L Jiang, Y Chen, Y
format	Article
author	Huang, L Jiang, Y Chen, Y
author_sort	Huang, L
title	Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
title_short	Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
title_full	Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
title_fullStr	Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
title_full_unstemmed	Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
title_sort	predicting drug combination index and simulating the network-regulation dynamics by mathematical modeling of drug-targeted egfr-erk signaling pathway
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/173946
_version_	1800914199594926080

Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway

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