@inbook{40714a358ffc456781a013b292eab3b7,
title = "Target inhibition maps based on responses to kinase inhibitors",
abstract = "The prediction of tumor sensitivity to targeted drugs remains a major challenge in the design of optimal therapeutic strategies. This chapter presents a computational modeling approach to infer target inhibition maps based on responses of the tumor culture to a range of kinase inhibitors. The kinase inhibition profiles of the targeted drugs and the functional responses are utilized to infer potential tumor proliferation circuits that can assist in generation of synergistic drug combinations.",
keywords = "Drug sensitivity, Modeling, Target inhibition maps, Tumor proliferation pathways",
author = "Noah Berlow and Ranadip Pal",
note = "Publisher Copyright: {\textcopyright} 2017, Springer Science+Business Media LLC.",
year = "2017",
doi = "10.1007/978-1-4939-7154-1_31",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "507--522",
booktitle = "Methods in Molecular Biology",
}