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CancerGram identifies anticancer peptides using random forests and n-gram encoding.

Restrictions:

  • Be patient - calculations can take up to few minutes.
  • Up to 50 sequences may be analyzed at the same time using web server. If you need larger query, please use the CancerGram package for R.
  • Do not use sequences shorter than 5 amino acids, and remember that CancerGram was trained on sequences up to 50 amino acids in length.

Citation: Burdukiewicz, M., Sidorczuk, K., Rafacz, D., Pietluch, F., Bąkała, M., Słowik, J., and Gagat, P. (2020). CancerGram: An Effective Classifier for Differentiating Anticancer from Antimicrobial Peptides. Pharmaceutics 12, 1045, https://doi.org/10.3390/pharmaceutics12111045.