SVMQA: support-vector-machine-based protein single-model quality assessment

@article{Manavalan2017SVMQASP,
  title={SVMQA: support-vector-machine-based protein single-model quality assessment},
  author={Balachandran Manavalan and Jooyoung Lee},
  journal={Bioinformatics},
  year={2017},
  volume={33 16},
  pages={2496-2503}
}
Motivation The accurate ranking of predicted structural models and selecting the best model from a given candidate pool remain as open problems in the field of structural bioinformatics. The quality assessment (QA) methods used to address these problems can be grouped into two categories: consensus methods and single-model methods. Consensus methods in general perform better and attain higher correlation between predicted and true quality measures. However, these methods frequently fail to… CONTINUE READING
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