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A random forest learning assisted “divide and conquer” approach for peptide conformation search
Computational determination of peptide conformations is challenging as it is a problem of finding minima in a high-dimensional space. The “divide and conquer” approach is promising for reliably reducing the search space size. A random forest learning model is proposed here to expand the scope of app...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995823/ https://www.ncbi.nlm.nih.gov/pubmed/29891960 http://dx.doi.org/10.1038/s41598-018-27167-w |