caa a22 4500 445842830 CHVBK 20180317145350.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s11047-009-9153-9 doi (NATIONALLICENCE)springer-10.1007/s11047-009-9153-9 A discrete Petri net model for cephalostatin-induced apoptosis in leukemic cells [Elektronische Daten] [Eva Rodriguez, Anita Rudy, Ricardo del Rosario, Angelika Vollmar, Eduardo Mendoza] Understanding the mechanisms involved in apoptosis has been an area of extensive study due to its critical role in the development and homeostasis of multi-cellular organisms. Our special interest lies in understanding the apoptosis of tumor cells which is mediated by novel potential drugs. Cephalostatin 1 is a marine compound that can induce apoptosis in leukemic cells in a dose- and time-dependent manner even at nano-molar concentrations using a recently discovered pathway that excludes the receptor-mediated pathway and which includes both the mitochondrial and endoplasmic reticulum pathways (Dirsch et al., Cancer Res 63:8869-8876, 2003; López-Antón et al., J Biol Chem 28:33078-33086, 2006). In this paper, the methods and tools of Petri net theory are used to construct, analyze, and validate a discrete Petri net model for cephalostatin 1-induced apoptosis. Based on experimental results and literature search, we constructed a discrete Petri net consisting of 43 places and 59 transitions. Standard Petri net analysis techniques such as structural and invariant analyses and a recently developed modularity analysis technique using maximal abstract dependent transition sets (ADT sets) were employed. Results of these analyses revealed model consistency with known biological behavior. The sub-modules represented by the ADT sets were compared with the functional modules of apoptosis identified by Alberghina and Colangelo (BMC Neurosci 7(Suppl 1):S2, 2006). Springer Science+Business Media B.V., 2009 Apoptosis nationallicence Cephalostatin 1 nationallicence Discrete Petri net nationallicence Invariant analysis nationallicence Maximal abstract dependent transition sets (ADT sets) nationallicence Modularity analysis nationallicence Structural analysis nationallicence Rodriguez Eva Department of Mathematics, University of Asia and the Pacific, Pasig City, Philippines aut Rudy Anita Department of Pharmacy, Center for Drug Research, Ludwig-Maximilians University, Munich, Germany aut del Rosario Ricardo Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines aut Vollmar Angelika Department of Pharmacy, Center for Drug Research, Ludwig-Maximilians University, Munich, Germany aut Mendoza Eduardo Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines aut Natural Computing Springer Netherlands 10/3(2011-09-01), 993-1015 1567-7818 10:3<993 2011 10 11047 https://doi.org/10.1007/s11047-009-9153-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-009-9153-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rodriguez Eva Department of Mathematics, University of Asia and the Pacific, Pasig City, Philippines aut NATIONALLICENCE 700 1- Rudy Anita Department of Pharmacy, Center for Drug Research, Ludwig-Maximilians University, Munich, Germany aut NATIONALLICENCE 700 1- del Rosario Ricardo Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines aut NATIONALLICENCE 700 1- Vollmar Angelika Department of Pharmacy, Center for Drug Research, Ludwig-Maximilians University, Munich, Germany aut NATIONALLICENCE 700 1- Mendoza Eduardo Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/3(2011-09-01), 993-1015 1567-7818 10:3<993 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer