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Computer-aided virtual screening and designing of cell-penetrating peptides

  • Ankur Gautam
  • , Kumardeep Chaudhary
  • , Rahul Kumar
  • , Gajendra Pal Singh Raghava

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations

Abstract

Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in CPP-based research, demonstrating the potential of CPPs as therapeutic candidates. In the past, many in silico algorithms have been developed for the prediction and screening of CPPs, which expedites the CPP-based research. In silico screening/prediction of CPPs followed by experimental validation seems to be a reliable, less time-consuming, and cost-effective approach. This chapter describes the prediction, screening, and designing of novel efficient CPPs using "CellPPD," an in silico tool.

Original languageEnglish
Title of host publicationCell-Penetrating Peptides
Subtitle of host publicationMethods and Protocols
PublisherSpringer New York
Pages59-69
Number of pages11
ISBN (Electronic)9781493928064
ISBN (Print)9781493928057
DOIs
StatePublished - 22 Jul 2015
Externally publishedYes

Keywords

  • Cell-penetrating peptides
  • Drug delivery system
  • Machine learning approach
  • Prediction
  • Support vector machine
  • Virtual screening

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