SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks (2016)
- Authors:
- USP affiliated authors: BARRERA, JUNIOR - IME ; ARMELIN, HUGO AGUIRRE - IQ
- Unidades: IME; IQ
- Subjects: COMPUTAÇÃO APLICADA; BIOINFORMÁTICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Abstracts
- Conference titles: Computational Modeling in BIology NEtwork - COMBINE
-
ABNT
NOEL, Vincent et al. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks. 2016, Anais.. [S.l.]: COMBINE, 2016. Disponível em: http://co.mbine.org/events/COMBINE_2016/abstracts. Acesso em: 24 abr. 2024. -
APA
Noel, V., Reis, M. da S., Dias, M. H. dos S., Wu, L., Guimarães, A. S., Reverbel, D. F., et al. (2016). SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks. In Abstracts. [S.l.]: COMBINE. Recuperado de http://co.mbine.org/events/COMBINE_2016/abstracts -
NLM
Noel V, Reis M da S, Dias MH dos S, Wu L, Guimarães AS, Reverbel DF, Barrera J, Armelin HA. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks [Internet]. Abstracts. 2016 ;[citado 2024 abr. 24 ] Available from: http://co.mbine.org/events/COMBINE_2016/abstracts -
Vancouver
Noel V, Reis M da S, Dias MH dos S, Wu L, Guimarães AS, Reverbel DF, Barrera J, Armelin HA. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks [Internet]. Abstracts. 2016 ;[citado 2024 abr. 24 ] Available from: http://co.mbine.org/events/COMBINE_2016/abstracts - CETICSDB: a platform for integration and analysis of high-throughput-omics data and mathematical modeling of biochemical reactions
- CeTICSdb: a platform for interdisciplinary research that allows quantitative and qualitative -omics analyses and mathematical modeling of signaling networks
- An interdisciplinary approach for designing kinetic models of the Ras/MAPK signaling pathway
- CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions
- Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest
- Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells
- Gene regulation network identification from time-series microarray data
- Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells
- Design and analysis of dynamical models of biochemical reaction networks
- Selection of normal revertants from tumorigenic balb 3t3 mouse cell lines carrying the human ej-ras oncogene
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas