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Mendeley readers
Chapter title |
Target Inhibition Maps Based on Responses to Kinase Inhibitors
|
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Chapter number | 31 |
Book title |
Kinase Signaling Networks
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Published in |
Methods in molecular biology, July 2017
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DOI | 10.1007/978-1-4939-7154-1_31 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7152-7, 978-1-4939-7154-1
|
Authors |
Noah Berlow, Ranadip Pal |
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. |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 1 | 100% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 1 | 100% |