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Combinatorial Approaches: A New Tool to Search for Highly Structured β-Hairpin Peptides
Here we present a combinatorial approach to evolve a stable β-hairpin fold in a linear peptide. Starting with a de novo-designed linear peptide that shows a β-hairpin structure population of around 30%, we selected four positions to build up a combinatorial library of 204sequences. Deconvolution of...
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Published in: | Proceedings of the National Academy of Sciences - PNAS 2002-01, Vol.99 (2), p.614-619 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Here we present a combinatorial approach to evolve a stable β-hairpin fold in a linear peptide. Starting with a de novo-designed linear peptide that shows a β-hairpin structure population of around 30%, we selected four positions to build up a combinatorial library of 204sequences. Deconvolution of the library using circular dichroism reduced such a sequence complexity to 36 defined sequences. Circular dichroism and NMR of these peptides resulted in the identification of two linear 14-aa-long peptides that in plain buffered solutions showed a percentage of β-hairpin structure higher than 70%. Our results show how combinatorial approaches can be used to obtain highly structured peptide sequences that could be used as templates in which functionality can be introduced. |
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ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.012583999 |