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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2435-2437 |
| Number of pages | 3 |
| Journal | Journal of the Chemical Society - Perkin Transactions 1 |
| Issue number | 20 |
| State | Published - 1996 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Organic Chemistry
Cite this
Directed evolution of trypsin inhibiting peptides using a genetic algorithm. / Yokobayashi, Yohei; Ikebukuro, Kazunori; McNiven, Scott; Karube, Isao.
In: Journal of the Chemical Society - Perkin Transactions 1, No. 20, 1996, p. 2435-2437.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Directed evolution of trypsin inhibiting peptides using a genetic algorithm
AU - Yokobayashi, Yohei
AU - Ikebukuro, Kazunori
AU - McNiven, Scott
AU - Karube, Isao
PY - 1996
Y1 - 1996
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=33748976088&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:33748976088
SP - 2435
EP - 2437
JO - Journal of the Chemical Society. Perkin Transactions 1
JF - Journal of the Chemical Society. Perkin Transactions 1
SN - 1470-4358
IS - 20
ER -