ProQ2 / ProQM
ProQ2 (Protein Quality Predictor) is a neural network based predictor that based on a number of structural features predicts the quality of a protein model. ProQ is optimized to find correct models in contrast to other methods which are optimized to find native structures.
ProQM method uses a support vector machine with a combination of general and membrane protein-specific features.
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ProQ2: Estimation of Model Accuracy Implemented in Rosetta.
Uziela K, Wallner B.
Bioinformatics. 2016 Jan 5. pii: btv767.
Improved model quality assessment using ProQ2.
Arjun Ray, Erik Lindahl and B. Wallner.
BMC Bioinformatics 2012, 13:224, doi:10.1186/1471-2105-13-224
Bioinformatics. 2010 Dec 15;26(24):3067-74. doi: 10.1093/bioinformatics/btq581. Epub 2010 Oct 14.
Model quality assessment for membrane proteins.
Ray A, Lindahl E, Wallner B.