Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou. Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks. Bioinformatics, 35(14):2403-2410, 2019. [doi]

@article{HansonPLYZ19,
  title = {Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks},
  author = {Jack Hanson and Kuldip K. Paliwal and Thomas Litfin and Yuedong Yang and Yaoqi Zhou},
  year = {2019},
  doi = {10.1093/bioinformatics/bty1006},
  url = {https://doi.org/10.1093/bioinformatics/bty1006},
  researchr = {https://researchr.org/publication/HansonPLYZ19},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {35},
  number = {14},
  pages = {2403-2410},
}