SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning

Jaspreet Singh, Thomas Litfin, Kuldip Paliwal, Jaswinder Singh, Anil Kumar Hanumanthappa, Yaoqi Zhou. SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning. Bioinformatics, 37(20):3464-3472, 2021. [doi]

@article{SinghLPSHZ21,
  title = {SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning},
  author = {Jaspreet Singh and Thomas Litfin and Kuldip Paliwal and Jaswinder Singh and Anil Kumar Hanumanthappa and Yaoqi Zhou},
  year = {2021},
  doi = {10.1093/bioinformatics/btab316},
  url = {https://doi.org/10.1093/bioinformatics/btab316},
  researchr = {https://researchr.org/publication/SinghLPSHZ21},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {37},
  number = {20},
  pages = {3464-3472},
}