| Texto completo | |
| Autor(es): |
Cummins, Bree
;
Gameiro, Marcio
;
Gedeon, Tomas
;
Kepley, Shane
;
Mischaikow, Konstantin
;
Zhang, Lun
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS; v. 21, n. 3, p. 30-pg., 2022-01-01. |
| Resumo | |
Understanding how the structure of within-system interactions affects the dynamics of the system is important in many areas of science. We extend a network dynamics modeling platform DSGRN, which combinatorializes both dynamics and parameter space to construct finite but accurate sum-maries of network dynamics, to new types of interactions. While the standard DSGRN assumes that each network edge controls the rate of abundance of the target node, the new edges may control either activity level or a decay rate of its target. While motivated by processes of post-transcriptional modification and ubiquitination in systems biology, our extension is applicable to the dynamics of any signed directed network. (AU) | |
| Processo FAPESP: | 19/06249-7 - Aplicações de Métodos Computacionais e Topológicos em Sistemas Dinâmicos |
| Beneficiário: | Marcio Fuzeto Gameiro |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |