@inproceedings{950ea51c30b5400b9a6768a5788615ec,
title = "Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets",
abstract = "Malignant melanoma is an invasive skin cancer commonly resistant to conventional therapeutic approaches. Genetic and molecular alterations as mutations of BRAF gene, able to constitutively activate MAPK and PI3K/PDK1/ Akt signalling pathways, seem to be responsible of malignant melanocytic transformation and lead to aberrant cellular physiological processes. Specific regulators and modulators of both signaling pathways may represent promising therapeutic targets to investigate drug resistance typical of BRAF-inhibitors such as Dabrafenib. We developed a continuous Petri Net model that simulates both MAPK and PI3K/PDK1/Akt pathways and their interactions in order to analyze the complex kinase cascades in melanoma and to predict new crucial nodes involved in drug resistance like in the Ras arm.",
keywords = "Drug resistance, Hsa-mir-132, Melanoma, Petri nets, Signaling pathways",
author = "Giulia Russo and Marzio Pennisi and Roberta Boscarino and Francesco Pappalardo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 13th International Conference on Intelligent Computing, ICIC 2017 ; Conference date: 07-08-2017 Through 10-08-2017",
year = "2017",
doi = "10.1007/978-3-319-63312-1_15",
language = "English",
isbn = "9783319633114",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "169--175",
editor = "De-Shuang Huang and Kang-Hyun Jo and Figueroa-Garcia, {Juan Carlos}",
booktitle = "Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings",
address = "Germany",
}