Dataset Information

SUMO-mimicking peptides inhibiting protein SUMOylation.

ABSTRACT: The ubiquitin-like protein SUMO is transferred through a core E1-E2 cascade composed of the SUMO-activating enzyme (SAE) and Ubc9 to modify cellular proteins and transmit important biological signals. SAE primarily recognizes the C-terminal tail of SUMO and catalyzes ATP condensation with the SUMO C-terminal carboxylate to activate its transfer through the cascade. Here, we used phage display to show that a broad profile of SUMO C-terminal sequences could be activated by SAE. Based on this, we developed heptamer peptides that could 1) form thioester conjugates with SAE, 2) be transferred from SAE to Ubc9, and 3) be further transferred to the SUMOylation target protein RanGAP1. As these peptides recapitulate the action of SUMO in protein modification, we refer to them as "SUMO-mimicking peptides". We found that, once the peptides were conjugated to SAE and Ubc9, they blocked full-length SUMO from entering the cascade. These peptides can thus function as mechanism-based inhibitors of the protein SUMOylation reaction.

SUBMITTER: Zhao B

PROVIDER: S-EPMC4643655 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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SUMO-mimicking peptides inhibiting protein SUMOylation.

Zhao Bo B Villhauer Eric B EB Bhuripanyo Karan K Kiyokawa Hiroaki H Schindelin Hermann H Yin Jun J

Chembiochem : a European journal of chemical biology 20141120 18

The ubiquitin-like protein SUMO is transferred through a core E1-E2 cascade composed of the SUMO-activating enzyme (SAE) and Ubc9 to modify cellular proteins and transmit important biological signals. SAE primarily recognizes the C-terminal tail of SUMO and catalyzes ATP condensation with the SUMO C-terminal carboxylate to activate its transfer through the cascade. Here, we used phage display to show that a broad profile of SUMO C-terminal sequences could be activated by SAE. Based on this, we d ...[more]

PMID: 25412743

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Project description:Cyclization is commonly employed in efforts to improve the target binding affinity of peptide-based probes and therapeutics. Many structural motifs have been identified at protein-protein interfaces and provide promising targets for inhibitor design using cyclic peptides. Cyclized peptides are generally assumed to be rigidified relative to their linear counterparts. This rigidification potentially pre-organizes the molecules to interact properly with their targets. However, the actual impact of cyclization on, for example, peptide configurational entropy, is currently poorly understood in terms of both its magnitude and molecular-level origins. Moreover, even with thousands of desired structural motifs at hand, it is currently not possible to a priori identify the ones that are most promising to mimic using cyclic peptides nor to select the ideal linker length. Instead, labor-intensive chemical synthesis and experimental characterization of various cyclic peptide designs are required, in hopes of finding one with improved target affinity. Herein, using molecular dynamics simulations of polyglycines, we elucidated how head-to-tail cyclization impacts peptide backbone dihedral entropy and developed a simple strategy to rapidly screen for structures that can be reliably mimicked by preorganized cyclic peptides. As expected, cyclization generally led to a reduction in backbone dihedral entropy; notably, however, this effect was minimal when the length of polyglycines was >9 residues. We also found that the reduction in backbone dihedral entropy upon cyclization of small polyglycine peptides does not result from more restricted distributions of the dihedrals; rather, it was the correlations between specific dihedrals that caused the decrease in configurational entropy in the cyclic peptides. Using our comprehensive cyclo-Gn structural ensembles, we obtained a holistic picture of what conformations are accessible to cyclic peptides. Using "hot loops" recently identified at protein-protein interfaces as an example, we provide clear guidelines for choosing the "easiest" hot loops for cyclic peptides to mimic and for identifying appropriate cyclic peptide lengths. In conclusion, our results provide an understanding of the thermodynamics and structures of this interesting class of molecules. This information should prove particularly useful for designing cyclic peptide inhibitors of protein-protein interactions.

Dataset Information

SUMO-mimicking peptides inhibiting protein SUMOylation.

Publications

SUMO-mimicking peptides inhibiting protein SUMOylation.

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