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

Noah Berlow; Ranadip Pal

doi:10.1109/gensips.2011.6169435

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

Noah Berlow, Ranadip Pal

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Publisher	IEEE Computer Society
Pages	36-37
Number of pages	2
ISBN (Print)	9781467304900
DOIs	https://doi.org/10.1109/gensips.2011.6169435
State	Published - 2011
Event	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States Duration: Dec 4 2011 → Dec 6 2011

Publication series

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

Conference

Conference	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Country	United States
City	San Antonio, TX
Period	12/4/11 → 12/6/11

Access to Document

10.1109/gensips.2011.6169435

Link to publication in Scopus

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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). IEEE Computer Society. https://doi.org/10.1109/gensips.2011.6169435

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title = "A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs",

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.",

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year = "2011",

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language = "English",

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series = "Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics",

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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., 6169435, Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics, IEEE Computer Society, pp. 36-37, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11. https://doi.org/10.1109/gensips.2011.6169435

A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs. / Berlow, Noah; Pal, Ranadip.

Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society, 2011. p. 36-37 6169435 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Berlow N, Pal R. 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. IEEE Computer Society. 2011. p. 36-37. 6169435. (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). https://doi.org/10.1109/gensips.2011.6169435