Cargando…
Markov dynamic models for long-timescale protein motion
Molecular dynamics (MD) simulation is a well-established method for studying protein motion at the atomic scale. However, it is computationally intensive and generates massive amounts of data. One way of addressing the dual challenges of computation efficiency and data analysis is to construct simpl...
Autores principales: | Chiang, Tsung-Han, Hsu, David, Latombe, Jean-Claude |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881362/ https://www.ncbi.nlm.nih.gov/pubmed/20529916 http://dx.doi.org/10.1093/bioinformatics/btq177 |
Ejemplares similares
-
Recognition of beta-structural motifs using hidden Markov models trained with simulated evolution
por: Kumar, Anoop, et al.
Publicado: (2010) -
Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping
por: Bercovici, Sivan, et al.
Publicado: (2010) -
A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data
por: Chen, Xiaoyu, et al.
Publicado: (2010) -
A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images
por: Lin, Yu-Shi, et al.
Publicado: (2010) -
SPEX(2): automated concise extraction of spatial gene expression patterns from Fly embryo ISH images
por: Puniyani, Kriti, et al.
Publicado: (2010)