Cargando…
Sequence-based Gaussian network model for protein dynamics
Motivation: Gaussian network model (GNM) is widely adopted to analyze and understand protein dynamics, function and conformational changes. The existing GNM-based approaches require atomic coordinates of the corresponding protein and cannot be used when only the sequence is known. Results: We report...
Autores principales: | Zhang, Hua, Kurgan, Lukasz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928524/ https://www.ncbi.nlm.nih.gov/pubmed/24336646 http://dx.doi.org/10.1093/bioinformatics/btt716 |
Ejemplares similares
-
Identification of Hot Spots in Protein Structures Using Gaussian Network Model and Gaussian Naive Bayes
por: Zhang, Hua, et al.
Publicado: (2016) -
Sequence-based prediction of protein crystallization, purification and production propensity
por: Mizianty, Marcin J., et al.
Publicado: (2011) -
Estimation of dynamic SNP-heritability with Bayesian Gaussian process models
por: Arjas, Arttu, et al.
Publicado: (2020) -
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
por: Zhang, Jian, et al.
Publicado: (2019) -
Gaussian network model can be enhanced by combining solvent accessibility in proteins
por: Zhang, Hua, et al.
Publicado: (2017)