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Artificial Evolutionary Optimization Process to Improve the Functionality of Cell Penetrating Peptides

Part of the Methods in Molecular Biology book series (MIMB,volume 2383)

Abstract

Crossing cellular membranes is a versatile molecular property that allows for a wide variety of peptides with cell penetrating capabilities. This broadness complicates identification of candidates suited best for a specific application. To facilitate the screening of this enormous molecular space in a supervised manner we here present a method to “breed” the desired molecules by applying the rules of Darwinian evolution. With this mate-and-check protocol, which combines an in silico evolution step with an in vitro performance test, cell penetrating peptides that are optimized for a specific task can be achieved in a few rounds of breeding. The procedure is simple and straightforward on the synthetic site but requires robust, highly reproducible and close-to-reality biological assays to yield realistic functional output. With this technology even top-performing peptides can be further improved and functionally adjusted.

Key words

  • CPP
  • Molecular evolution
  • Genetic algorithm
  • Fitness value
  • Ranking
  • Lead peptide
  • Population diversity

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  • DOI: 10.1007/978-1-0716-1752-6_3
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Correspondence to Andreas Frey .

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Röckendorf, N., Ramaker, K., Frey, A. (2022). Artificial Evolutionary Optimization Process to Improve the Functionality of Cell Penetrating Peptides. In: Langel, Ü. (eds) Cell Penetrating Peptides. Methods in Molecular Biology, vol 2383. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1752-6_3

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  • DOI: https://doi.org/10.1007/978-1-0716-1752-6_3

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1751-9

  • Online ISBN: 978-1-0716-1752-6

  • eBook Packages: Springer Protocols