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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| 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 |