Adaptive local learning in sampling based motion planning for protein folding

BACKGROUND: Simulating protein folding motions is an important problem in computational biology. Motion planning algorithms, such as Probabilistic Roadmap Methods, have been successful in modeling the folding landscape. Probabilistic Roadmap Methods and variants contain several phases (i.e., samplin...

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Detalles Bibliográficos
Autores principales: Ekenna, Chinwe, Thomas, Shawna, Amato, Nancy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977477/
https://www.ncbi.nlm.nih.gov/pubmed/27490494
http://dx.doi.org/10.1186/s12918-016-0297-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977477/
https://www.ncbi.nlm.nih.gov/pubmed/27490494
http://dx.doi.org/10.1186/s12918-016-0297-9

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