Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-63312-1_15 | INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II |
Keywords | Field | DocType |
Melanoma, Signaling pathways, Drug resistance, Petri nets, Hsa-mir-132 | PI3K/AKT/mTOR pathway,Computer science,Skin cancer,Kinase,MAPK/ERK pathway,Cancer research,Protein kinase B,Signal transduction,Artificial intelligence,Melanoma,Dabrafenib,Machine learning | Conference |
Volume | ISSN | Citations |
10362 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulia Russo | 1 | 15 | 10.89 |
| Marzio Pennisi | 2 | 109 | 23.03 |
| Roberta Boscarino | 3 | 1 | 0.70 |
| F. Pappalardo | 4 | 76 | 20.14 |