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Predicting Protein Model Quality from Sequence Alignments by Support Vector Machines
Assessing the quality of a protein structure model is essential for protein structure prediction. Here, we developed a Support Vector Machine (SVM) method to predict the quality score (GDT-TS score) of a protein structure model from the features extracted from the sequence alignment used to generate...
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| Veröffentlicht in: | J Proteomics Bioinform |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4705550/ https://ncbi.nlm.nih.gov/pubmed/26752865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4172/jpb.S9-001 |
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