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

Giulia Russo; Marzio Pennisi; Roberta Boscarino; Francesco Pappalardo

doi:10.1007/978-3-319-63312-1_15

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 convegno › Contributo a conferenza › peer 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 originale	Inglese
Titolo della pubblicazione ospite	Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings
Editor	De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-Garcia
Editore	Springer Verlag
Pagine	169-175
Numero di pagine	7
ISBN (stampa)	9783319633114
DOI	https://doi.org/10.1007/978-3-319-63312-1_15
Stato di pubblicazione	Pubblicato - 2017
Pubblicato esternamente	Sì
Evento	13th International Conference on Intelligent Computing, ICIC 2017 - Liverpool, United Kingdom Durata: 7 ago 2017 → 10 ago 2017

Serie di pubblicazioni

Nome	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10362 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/Territorio	United Kingdom
Città	Liverpool
Periodo	7/08/17 → 10/08/17

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10.1007/978-3-319-63312-1_15

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Russo, G., Pennisi, M., Boscarino, R., & Pappalardo, F. (2017). Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets. In D.-S. Huang, K.-H. Jo, & J. C. Figueroa-Garcia (Edd.), Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings (pagg. 169-175). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10362 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-63312-1_15

Russo, Giulia ; Pennisi, Marzio ; Boscarino, Roberta et al. / Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets. Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings. curatore / De-Shuang Huang ; Kang-Hyun Jo ; Juan Carlos Figueroa-Garcia. Springer Verlag, 2017. pagg. 169-175 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@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",

}

Russo, G, Pennisi, M, Boscarino, R & Pappalardo, F 2017, Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets. in D-S Huang, K-H Jo & JC Figueroa-Garcia (edd.), Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10362 LNCS, Springer Verlag, pagg. 169-175, 13th International Conference on Intelligent Computing, ICIC 2017, Liverpool, United Kingdom, 7/08/17. https://doi.org/10.1007/978-3-319-63312-1_15

Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets. / Russo, Giulia; Pennisi, Marzio; Boscarino, Roberta et al.
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings. a cura di / De-Shuang Huang; Kang-Hyun Jo; Juan Carlos Figueroa-Garcia. Springer Verlag, 2017. pag. 169-175 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10362 LNCS).

Risultato della ricerca: Capitolo in libro/report/atti di convegno › Contributo a conferenza › peer review

TY - GEN

T1 - Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets

AU - Russo, Giulia

AU - Pennisi, Marzio

AU - Boscarino, Roberta

AU - Pappalardo, Francesco

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Drug resistance

KW - Hsa-mir-132

KW - Melanoma

KW - Petri nets

KW - Signaling pathways

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DO - 10.1007/978-3-319-63312-1_15

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AN - SCOPUS:85027674587

SN - 9783319633114

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 175

BT - Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings

A2 - Huang, De-Shuang

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A2 - Figueroa-Garcia, Juan Carlos

PB - Springer Verlag

T2 - 13th International Conference on Intelligent Computing, ICIC 2017

Y2 - 7 August 2017 through 10 August 2017

ER -

Russo G, Pennisi M, Boscarino R, Pappalardo F. Modeling PI3K/PDK1/Akt and MAPK signaling pathways using continuous petri nets. In Huang DS, Jo KH, Figueroa-Garcia JC, editor, Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Proceedings. Springer Verlag. 2017. pag. 169-175. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-63312-1_15

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

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