Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets

Giulia Russo, Marzio Pennisi, Roberta Boscarino, Francesco Pappalardo

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

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.

Lingua originaleInglese
Titolo della pubblicazione ospiteIntelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings
EditorDe-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-Garcia
EditoreSpringer Verlag
Pagine169-175
Numero di pagine7
ISBN (stampa)9783319633114
DOI
Stato di pubblicazionePubblicato - 2017
Pubblicato esternamente
Evento13th International Conference on Intelligent Computing, ICIC 2017 - Liverpool, United Kingdom
Durata: 7 ago 201710 ago 2017

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10362 LNCS
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???13th International Conference on Intelligent Computing, ICIC 2017
Paese/TerritorioUnited Kingdom
CittàLiverpool
Periodo7/08/1710/08/17

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