Computational Design of the Sequence and Structure of a Protein-Binding Peptide
The de novo design of protein-binding peptides is challenging because it requires the identification of both a sequence and a backbone conformation favorable for binding. We used a computational strategy that iterates between structure and sequence optimization to redesign the C-terminal portion of...
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Veröffentlicht in: | Journal of the American Chemical Society 2011-03, Vol.133 (12), p.4190-4192 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The de novo design of protein-binding peptides is challenging because it requires the identification of both a sequence and a backbone conformation favorable for binding. We used a computational strategy that iterates between structure and sequence optimization to redesign the C-terminal portion of the RGS14 GoLoco motif peptide so that it adopts a new conformation when bound to Gαi1. An X-ray crystal structure of the redesigned complex closely matches the computational model, with a backbone root-mean-square deviation of 1.1 Å. |
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ISSN: | 0002-7863 1520-5126 |
DOI: | 10.1021/ja110296z |