Predicting Protein Model Quality from Sequence Alignments by Support Vector Machines

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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Bibliographic Details
Main Authors:	Deng, Xin, Li, Jilong, Cheng, Jianlin
Format:	Online
Language:	English
Published:	2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705550/

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