Cargando…
Extending rule-based methods to model molecular geometry and 3D model resolution
BACKGROUND: Computational modeling is an important tool for the study of complex biochemical processes associated with cell signaling networks. However, it is challenging to simulate processes that involve hundreds of large molecules due to the high computational cost of such simulations. Rule-based...
Autores principales: | Hoard, Brittany, Jacobson, Bruna, Manavi, Kasra, Tapia, Lydia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977479/ https://www.ncbi.nlm.nih.gov/pubmed/27490268 http://dx.doi.org/10.1186/s12918-016-0294-z |
Ejemplares similares
-
Functional networks inference from rule-based machine learning models
por: Lazzarini, Nicola, et al.
Publicado: (2016) -
Categorizing the geometry of animal diel movement patterns with examples from high-resolution barn owl tracking
por: Luisa Vissat, Ludovica, et al.
Publicado: (2023) -
A free geometry model-independent neural eye-gaze tracking system
por: Gneo, Massimo, et al.
Publicado: (2012) -
An optical imaging chamber for viewing living plant cells and tissues at high resolution for extended periods
por: Calder, Grant, et al.
Publicado: (2015) -
Novel condylar repositioning method for 3D-printed models
por: Sugahara, Keisuke, et al.
Publicado: (2018)