Abstract
Background: Recent advances in proteomics methodologies allow for high throughput profiling of proteolytic cleavage events. The resulting substrate peptide distributions provide deep insights in the underlying macromolecular recognition events, as determinants of biomolecular specificity identified by proteomics approaches may be compared to structure-based analysis of corresponding protein-protein interfaces.
Method: Here, we present an overview of experimental and computational methodologies and tools applied in the area and provide an outlook beyond the protein class of proteases. Results and Conclusion: We discuss here future potential, synergies and needs of the emerging overlap disciplines of proteomics and structure-based modelling.Keywords: Macromolecular recognition, molecular modelling, peptide binding, protein-protein-interface, protease substrate profiling, specificity.
Current Protein & Peptide Science
Title:Determinants of Macromolecular Specificity from Proteomics-Derived Peptide Substrate Data
Volume: 18 Issue: 9
Author(s): Julian E. Fuchs*, Oliver Schilling and Klaus R. Liedl
Affiliation:
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW,United Kingdom
Keywords: Macromolecular recognition, molecular modelling, peptide binding, protein-protein-interface, protease substrate profiling, specificity.
Abstract: Background: Recent advances in proteomics methodologies allow for high throughput profiling of proteolytic cleavage events. The resulting substrate peptide distributions provide deep insights in the underlying macromolecular recognition events, as determinants of biomolecular specificity identified by proteomics approaches may be compared to structure-based analysis of corresponding protein-protein interfaces.
Method: Here, we present an overview of experimental and computational methodologies and tools applied in the area and provide an outlook beyond the protein class of proteases. Results and Conclusion: We discuss here future potential, synergies and needs of the emerging overlap disciplines of proteomics and structure-based modelling.Export Options
About this article
Cite this article as:
Fuchs E. Julian*, Schilling Oliver and Liedl R. Klaus, Determinants of Macromolecular Specificity from Proteomics-Derived Peptide Substrate Data, Current Protein & Peptide Science 2017; 18 (9) . https://dx.doi.org/10.2174/1389203717666160724211231
DOI https://dx.doi.org/10.2174/1389203717666160724211231 |
Print ISSN 1389-2037 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5550 |
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