A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs

Noah Berlow, Ranadip Pal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Drugs that target specific kinases are becoming common in cancer research. Cancer-related kinases are the paradigm of molecularly-targeted therapies, and a cornerstone of Personalized Cancer Therapy. Here, we present an approach to generate abstract circuit representations of cancer pathways from drug tumor sensitivity data of a cell line and utilize them to predict the sensitivities of a new drug given the kinase inhibitors of the drug and to design and measure the effectiveness of drug combination therapies.

Original languageEnglish
Title of host publicationProceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Pages36-37
Number of pages2
StatePublished - Dec 1 2011
Event2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duration: Dec 4 2011Dec 6 2011

Publication series

NameProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)2150-3001
ISSN (Electronic)2150-301X

Conference

Conference2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
CountryUnited States
CitySan Antonio, TX
Period12/4/1112/6/11

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Berlow, N., & Pal, R. (2011). A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 (pp. 36-37). [6169435] (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).