Potencial role of computational modeling in pharmacological studies of tumor cell line behavior (2011)
- Authors:
- Autor USP: SILVA, MARCO ANTONIO ALVES DA - FCFRP
- Unidade: FCFRP
- Subjects: MÉTODO DE MONTE CARLO; FARMACOLOGIA; NEOPLASIAS
- Language: Inglês
- Imprenta:
- Publisher place: Ribeirão Preto
- Date published: 2011
- Source:
- Título: Oficial Program
- Conference titles: International Congress of Pharmaceutical Sciences (CIFARP)
-
ABNT
RIBEIRO, G. G. et al. Potencial role of computational modeling in pharmacological studies of tumor cell line behavior. 2011, Anais.. Ribeirão Preto: Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, 2011. . Acesso em: 13 mar. 2026. -
APA
Ribeiro, G. G., Costa, F. H. S., Silva, M. A. A. da, Reis, R. M., & Oliveira, R. J. S. (2011). Potencial role of computational modeling in pharmacological studies of tumor cell line behavior. In Oficial Program. Ribeirão Preto: Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo. -
NLM
Ribeiro GG, Costa FHS, Silva MAA da, Reis RM, Oliveira RJS. Potencial role of computational modeling in pharmacological studies of tumor cell line behavior. Oficial Program. 2011 ;[citado 2026 mar. 13 ] -
Vancouver
Ribeiro GG, Costa FHS, Silva MAA da, Reis RM, Oliveira RJS. Potencial role of computational modeling in pharmacological studies of tumor cell line behavior. Oficial Program. 2011 ;[citado 2026 mar. 13 ] - Analysis of tumour growth using epidemic models
- Exact solution of an anisotropic 2D random walk model with strong memory correlations
- Weakly anomalous diffusion with non-Gaussian propagators
- Ultraslow diffusion in an exactly solvable non-Markovian random walk
- Superdiffusion driven by exponentially decaying memory
- Análise de "scaling" e enovelamento para grandes polímeros em rede
- Non-Gaussian propagator for elephant random walks
- Investigations of the globular proteins folding process by molecular dynamic simulations using a simple solvation model and non-periodic boundary conditions
- Dynamical Monte Carlo approach to tumor growth: the role of the waiting times
- Amnestically induced persistence in rantom walks
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