In Silico Design of Anticancer Peptides

  • Shailesh Kumar
  • Hui Li
Part of the Methods in Molecular Biology book series (MIMB, volume 1647)


In the past few years, small peptides having anticancer properties have emerged as a potential avenue for cancer therapy. Compared to current anti-cancer chemotherapeutic drugs (or small molecules), anticancer peptides (ACPs) have numerous advantageous properties, such as high specificity, low production cost, high tumor penetration, ease of synthesis and modification. However, in wet lab setups, identification and characterization of novel ACPs is a time-consuming and labor-intensive process. Therefore, in silico designing of anticancer peptides is beneficial, prior to their synthesis and characterization. This approach is less time consuming and more cost-effective. In this chapter, we discuss a web-based tool, AntiCP (, for designing ACPs.

Key words

Anti-cancer peptides Machine learning Support vector machine 



AntiCP server was developed by Raghava’s group ( at CSIR-IMTECH, India.


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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.Department of Pathology, School of MedicineUniversity of VirginiaCharlottesvilleUSA
  2. 2.Department of Biochemistry and Molecular Genetics, School of MedicineUniversity of VirginiaCharlottesvilleUSA

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