Cargando…
Optimization of Protein Backbone Dihedral Angles by Means of Hamiltonian Reweighting
[Image: see text] Molecular dynamics simulations depend critically on the accuracy of the underlying force fields in properly representing biomolecules. Hence, it is crucial to validate the force-field parameter sets in this respect. In the context of the GROMOS force field, this is usually achieved...
Autores principales: | Margreitter, Christian, Oostenbrink, Chris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2016
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039763/ https://www.ncbi.nlm.nih.gov/pubmed/27559757 http://dx.doi.org/10.1021/acs.jcim.6b00399 |
Ejemplares similares
-
Correction to Optimization of Protein Backbone Dihedral Angles by
Means of Hamiltonian Reweighting
por: Margreitter, Christian, et al.
Publicado: (2018) -
Prediction of backbone dihedral angles and protein secondary structure using support vector machines
por: Kountouris, Petros, et al.
Publicado: (2009) -
Naive Prediction of Protein Backbone Phi and Psi Dihedral Angles Using Deep Learning
por: Broz, Matic, et al.
Publicado: (2023) -
A novel high-dimensional NMR experiment for resolving protein backbone dihedral angle ambiguities
por: Kauffmann, Clemens, et al.
Publicado: (2020) -
Predicting β-turns and their types using predicted backbone dihedral angles and secondary structures
por: Kountouris, Petros, et al.
Publicado: (2010)