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Targeting Metastable Coiled-Coil Domains by Computational Design

Authors: Patrick, Barth; Allyn, Schoeffler; Tom, Alber;

Targeting Metastable Coiled-Coil Domains by Computational Design

Abstract

Approximately 30% of eukaryotic genomes are predicted to encode partially unfolded proteins. Many of these unstructured domains contact multiple partners in short-lived interactions critical for cellular homeostasis. Understanding the functional implications of these transient binding events is a current challenge that could be addressed with designed peptide inhibitors. Most current protein design methodologies, however, target only structurally well-defined, stable structures. To address this limitation, we implemented a computational design strategy that alternates between a fixed backbone sequence search for binding specificity and structural optimization of the designed interfaces. We applied this method to create specific peptide inhibitors of the C-terminal metastable coiled-coil domain of the essential yeast septin Cdc12p. Specific binding of the designed sequences was demonstrated by circular dichroism and equilibrium ultracentrifugation. Our results validate computational methods to design specific peptide ligands to protein domains lacking intrinsic structural stability and set the stage for functional analysis of Cdc12p coiled coil function in vivo.

Related Organizations
Keywords

Models, Molecular, Cytoskeletal Proteins, Saccharomyces cerevisiae Proteins, Models, Chemical, Thermodynamics, Cell Cycle Proteins, Protein Engineering, Protein Structure, Secondary, Protein Binding, Protein Structure, Tertiary

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Average
Top 10%
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