Review Article

Bioinformatics tools and methods in identifying anticancer peptides

S.Zahra Sajjadian

S.Zahra Sajjadian
Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan. Email: szahra.sajjadiyan@gmail.com
Online First: December 30, 2018 | Cite this Article
Sajjadian, S. 2018. Bioinformatics tools and methods in identifying anticancer peptides. Journal of Genes and Cells 4(2): 40-44. DOI:10.15562/gnc.66


Usage of therapeutic peptides in cancer treatment has been taking significant attention in the recent years. Identify of anticancer peptides is important for expanding useful anticancer drugs. In this paper, we reviewed some improved predictors to design and identify the anticancer peptides. Consequently we highlighted that these tools and methods including Pseudo amino acid composition with G-Gap dipeptide mode, Support vector machine (SVM) based models, Jackknife cross-validation, Feature selection, iACP, TRAINER and cancerPPD may provide a convenient platform for the development of anticancer therapeutic peptide.

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