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Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.

Haicang ZhangQi ZhangFusong JuJianwei ZhuYujuan GaoZiwei XieMinghua DengShiwei SunWei-Mou ZhengDongbo Bu
Published in: BMC bioinformatics (2019)
Composite likelihood maximization algorithm can efficiently estimate the parameters of Markov Random Fields and can improve the prediction accuracy of protein inter-residue contacts.
Keyphrases
  • deep learning
  • amino acid
  • machine learning
  • protein protein
  • binding protein
  • artificial intelligence
  • small molecule
  • neural network