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RFQAmodel: Random Forest Quality Assessment to identify a predicted protein structure in the correct fold
While template-free protein structure prediction protocols now produce good quality models for many targets, modelling failure remains common. For these methods to be useful it is important that users can both choose the best model from the hundreds to thousands of models that are commonly generated...
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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6802825/ https://ncbi.nlm.nih.gov/pubmed/31634369 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0218149 |
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