Predicting residue-residue contacts using random forest models

  title={Predicting residue-residue contacts using random forest models},
  author={Yunqi Li and Yaping Fang and Jianwen Fang},
  volume={27 24},
MOTIVATION Protein residue-residue contact prediction can be useful in predicting protein 3D structures. Current algorithms for such a purpose leave room for improvement. RESULTS We develop ProC_S3, a set of Random Forest algorithm-based models, for predicting residue-residue contact maps. The models are constructed based on a collection of 1490 non-redundant, high-resolution protein structures using >1280 sequence-based features. A new amino acid residue contact propensity matrix and a new… CONTINUE READING


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