Quantitative and Probabilistic Modeling in Pathway Logic
A. Abate and Y. Bai and N. Sznajder and C. Talcott and A. Tiwari
Presented at
BIBE 2007, Boston, Oct 14-17, 2007.
Abstract
This paper presents a study of possible extensions of Pathway Logic to
represent and reason about semiquantitative and probabilistic aspects of
biological processes. The underlying theme is the annotation of reaction rules with
affinity information that can be used in different simulation
strategies. Several such strategies were implemented, and experiments carried
out to test feasibility, and to compare results of different approaches.
Dimerization in the ErbB signalling network, important in cancer biology, was
used as a test case.
Research supported in part by the National Science Foundation
under grants IIS-0513857 and ITR-CCR-0326540 and by the
Public Health Service grant GM068146-03 from the National Institute
of General Medical Sciences.
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BibTeX Entry
@inproceedings{ABSTT06,
AUTHOR = {A. Abate and Y. Bai and N. Sznajder and C. Talcott and A. Tiwari},
TITLE = {Quantitative and Probabilistic Modeling in Pathway Logic},
BOOKTITLE = {Proc. 7th {IEEE} Intl. Conf. on BioInformatics and BioEngineering, BIBE07},
PAGES = {922-929},
MONTH = {Oct},
YEAR = {2007},
ADDRESS = {Boston, MA},
}
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