QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
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Title
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
Authors
Keywords
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Journal
BIOINFORMATICS
Volume -, Issue -, Pages btw694
Publisher
Oxford University Press (OUP)
Online
2016-11-02
DOI
10.1093/bioinformatics/btw694
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Related references
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- Methods of model accuracy estimation can help selecting the best models from decoy sets: Assessment of model accuracy estimations in CASP11
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- SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines
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- The Protein Model Portal—a comprehensive resource for protein structure and model information
- (2013) Juergen Haas et al. Database-The Journal of Biological Databases and Curation
- MUFOLD-WQA: A new selective consensus method for quality assessment in protein structure prediction
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- Voroprot: an interactive tool for the analysis and visualization of complex geometric features of protein structure
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- A Novel Side-Chain Orientation Dependent Potential Derived from Random-Walk Reference State for Protein Fold Selection and Structure Prediction
- (2010) Jian Zhang et al. PLoS One
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- The ModFOLD server for the quality assessment of protein structural models
- (2008) L. J. McGuffin BIOINFORMATICS
- Evaluating the absolute quality of a single protein model using structural features and support vector machines
- (2008) Zheng Wang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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