TY - JOUR
T1 - Enhanced Petri Net
T2 - Elucidating the pathway-level mechanism of targeted-therapy drugs
AU - Jin, Guangxu
AU - Wong, Stephen T.C.
N1 - Publisher Copyright:
© 2014 Walter de Gruyter Berlin/Boston 2014.
PY - 2014/4/28
Y1 - 2014/4/28
N2 - Characterizing the dynamics of cellular signaling pathways with external simuli or drug treatment is critical for the understanding of mechanisms of cellular behavors. Petri Net, as a non-parametric approach, has been widely used for studying dynamics of a large scale of signaling network only based on the connections (interactions) within this network. In this article, we will describe an extension of the Petri net methods, called Enhanced Petri Net (EPN), specifcally designed for analyzing and modeling the dynamics of signaling pathways in order to predict the unknown signaling mechanisms of targeted-therapy drugs.
AB - Characterizing the dynamics of cellular signaling pathways with external simuli or drug treatment is critical for the understanding of mechanisms of cellular behavors. Petri Net, as a non-parametric approach, has been widely used for studying dynamics of a large scale of signaling network only based on the connections (interactions) within this network. In this article, we will describe an extension of the Petri net methods, called Enhanced Petri Net (EPN), specifcally designed for analyzing and modeling the dynamics of signaling pathways in order to predict the unknown signaling mechanisms of targeted-therapy drugs.
KW - ACM CCS→Computing methodologies→Modeling and simulation
KW - ACM CCS→Mathematics of computing→Discrete mathematics
UR - http://www.scopus.com/inward/record.url?scp=85117169402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117169402&partnerID=8YFLogxK
U2 - 10.1515/itit-2013-1019
DO - 10.1515/itit-2013-1019
M3 - Article
AN - SCOPUS:85117169402
VL - 56
SP - 67
EP - 75
JO - IT - Information Technology
JF - IT - Information Technology
SN - 1611-2776
IS - 2
ER -