Combination therapy design for targeted therapeutics from a drug-protein interaction perspective

Saad Haider, Noah Berlow, Ranadip Pal, Lara Davis, Charles Keller

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

3 Citations (Scopus)

Abstract

In the last decade, a number of drugs targeting specific proteins have been developed that are becoming common in cancer research as a basis for personalized therapy. How-ever, the numerous aberrations in molecular pathways that can produce cancer necessitate the use of drug combinations as compared to single drugs for treatment of individual cancers. In this article, we consider the design of combination therapy based on tumor sensitivity measurements over a panel of targeted drugs. We consider the following two optimization criteria (a) generating drug combinations with high sensitivity and minimal toxicity and (b) generating drug combinations targeting multiple parallel pathways for avoiding resistance. The optimization problem is solved using a set cover approach and a sequential search hill climbing technique. The effectiveness of our optimization procedure is illustrated on both synthetic and experimental models.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
Pages58-61
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 - Washington, DC, United States
Duration: Dec 2 2012Dec 4 2012

Other

Other2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
CountryUnited States
CityWashington, DC
Period12/2/1212/4/12

Fingerprint

Drug Combinations
Drug Interactions
Proteins
Drug Delivery Systems
Pharmaceutical Preparations
Neoplasms
Aberrations
Toxicity
Tumors
Therapeutics
Theoretical Models
Research

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Signal Processing
  • Biomedical Engineering

Cite this

Haider, S., Berlow, N., Pal, R., Davis, L., & Keller, C. (2012). Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics (pp. 58-61). [6507726] https://doi.org/10.1109/GENSIPS.2012.6507726

Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. / Haider, Saad; Berlow, Noah; Pal, Ranadip; Davis, Lara; Keller, Charles.

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2012. p. 58-61 6507726.

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

Haider, S, Berlow, N, Pal, R, Davis, L & Keller, C 2012, Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. in Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics., 6507726, pp. 58-61, 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012, Washington, DC, United States, 12/2/12. https://doi.org/10.1109/GENSIPS.2012.6507726
Haider S, Berlow N, Pal R, Davis L, Keller C. Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2012. p. 58-61. 6507726 https://doi.org/10.1109/GENSIPS.2012.6507726
Haider, Saad ; Berlow, Noah ; Pal, Ranadip ; Davis, Lara ; Keller, Charles. / Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2012. pp. 58-61
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