Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment

@article{Martin2009NeuralNP,
  title={Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment},
  author={Alberto J. M. Martin and Alessandro Vullo and Gianluca Pollastri},
  journal={Current protein & peptide science},
  year={2009},
  volume={12 6},
  pages={
          549-62
        }
}
In order to use a predicted protein structure one needs to know how good it is, as the utility of a model depends on its quality. To this aim, many Model Quality Assessment Programs (MQAP) have been developed over the last decade, with MQAP also being assessed at the CASP competition. We present a new knowledge-based MQAP which evaluates single protein structure models. We use a tree representation of the Cα trace to train a novel Neural Network Pairwise Interaction Field (NN-PIF) to predict… CONTINUE READING