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Issue 20, 1996
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Directed evolution of trypsin inhibiting peptides using a genetic algorithm

Abstract

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.

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Article type: Paper
DOI: 10.1039/P19960002435
Citation: J. Chem. Soc., Perkin Trans. 1, 1996,0, 2435-2437
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    Directed evolution of trypsin inhibiting peptides using a genetic algorithm

    Y. Yokobayashi, K. Ikebukuro, S. McNiven and I. Karube, J. Chem. Soc., Perkin Trans. 1, 1996, 0, 2435
    DOI: 10.1039/P19960002435

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