Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods

This paper presents an approach to enhance conformational sampling of proteins employing stochastic algorithms such as Monte Carlo (MC) methods. The approach is based on a mechanistic representation of proteins and on the application of methods originating from robotics. We outline the general ideas...

Descripción completa

Detalles Bibliográficos
Autores principales: Denarie, Laurent, Al-Bluwi, Ibrahim, Vaisset, Marc, Siméon, Thierry, Cortés, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017905/
https://www.ncbi.nlm.nih.gov/pubmed/29425162
http://dx.doi.org/10.3390/molecules23020373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017905/
https://www.ncbi.nlm.nih.gov/pubmed/29425162
http://dx.doi.org/10.3390/molecules23020373

Ejemplares similares