A random forest learning assisted “divide and conquer” approach for peptide conformation search
Abstract 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 sco...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2018
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| Accès en ligne: | https://doaj.org/article/11c873980d164176bff36fa4a2e6c005 |
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