Directed evolution of trypsin inhibiting peptides using a genetic algorithm

Yohei Yokobayashi, Kazunori Ikebukuro, Scott McNiven, Isao Karube

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


A new strategy which employs a process of directed evolution in the search for molecules exhibiting certain desirable properties is reported. By repeating a cycle of peptide synthesis, evaluation of the trypsin inhibitory activities of these peptides and subsequent selection and transformation based on a genetic algorithm, it is possible artificially to induce the evolution of a family of peptides and improve their biological activities. Commencing with a set of 24 randomly generated hexapeptides, a progressive improvement from 16 to 50% average inhibitory activity over six generations, with maximum activities of 80-90% is observed. The emergence of consensus sequences which concur with those previously generated using peptide libraries is also observed.

Original languageEnglish (US)
Pages (from-to)2435-2437
Number of pages3
JournalJournal of the Chemical Society - Perkin Transactions 1
Issue number20
StatePublished - 1996
Externally publishedYes

ASJC Scopus subject areas

  • Organic Chemistry


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