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CRHunter: integrating multifaceted information to predict catalytic residues in enzymes
A variety of algorithms have been developed for catalytic residue prediction based on either feature- or template-based methodology. However, no studies have systematically compared these two strategies and further considered whether their combination could improve the prediction performance. Herein...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5036049/ https://ncbi.nlm.nih.gov/pubmed/27665935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep34044 |
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