Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements

Daniele Raimondi, Gabriele Orlando, Wim F. Vranken. Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements. Bioinformatics, 31(8):1219-1225, 2015. [doi]

@article{RaimondiOV15,
  title = {Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements},
  author = {Daniele Raimondi and Gabriele Orlando and Wim F. Vranken},
  year = {2015},
  doi = {10.1093/bioinformatics/btu794},
  url = {http://dx.doi.org/10.1093/bioinformatics/btu794},
  researchr = {https://researchr.org/publication/RaimondiOV15},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {31},
  number = {8},
  pages = {1219-1225},
}