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...
Main Authors: | , , |
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Format: | Online |
Language: | English |
Published: |
2013
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705550/ |