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Volume 7, Issue 4 (Suppl)
J Biotechnol Biomater, an open access journal
ISSN: 2155-952X
Bio America 2017
October 19-20, 2017
October 19-20, 2017 | New York, USA
18
th
Biotechnology Congress
Cancer therapy design based on pathway logic
Aniruddha Datta
Texas A & M University, USA
C
ancer encompasses various diseases associated with loss of cell-cycle control, leading to uncontrolled cell proliferation and/
or reduced apoptosis. Cancer is usually caused by malfunction(s) in the cellular signaling pathways. Malfunctions occur in
different ways and at different locations in a pathway. Consequently, therapy design should first identify the location and type of
malfunction and then arrive at a suitable drug combination. We consider the growth factor (GF) signaling pathways, widely studied in
the context of cancer. Interactions between different pathway components are modeled using Boolean logic gates. All possible single
malfunctions in the resulting circuit are enumerated and responses of the different malfunctioning circuits to a ‘test’ input are used to
group the malfunctions into classes. Effects of different drugs, targeting different parts of the Boolean circuit, are taken into account
in deciding drug efficacy, thereby mapping each malfunction to an appropriate set of drugs
Biography
Aniruddha Datta received his PhD degree from the University of Southern California in 1991. In August 1991, he joined the Department of Electrical and Computer Engi-
neering at Texas A&M University where he is currently the J. W. Runyon, Jr. ’35 Professor II. His areas of interest include adaptive control, robust control, PID control and
genomic signal processing
datta@ece.tamu.eduAniruddha Datta, J Biotechnol Biomater 2017, 7:4 (Suppl)
DOI: 10.4172/2155-952X-C1-079