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Screening Method for the Discovery of Potential Bioactive Cysteine-Containing Peptides Using 3D Mass Mapping
Luuk N van Oosten1, Mervin Pieterse1, Martijn W H Pinkse1
1Department of Biotechnology, Delft University of Technology, 2628 BC, Delft, The Netherlands.
Journal of the American Society for Mass Spectrometry
|November 11, 2015
Summary
Researchers developed a 3D mass mapping workflow to discover novel bioactive peptides with disulfide bonds from frog skin secretions. This method identifies unique peptides for potential pharmaceutical applications.
Area of Science:
- Biochemistry
- Pharmacology
- Proteomics
Background:
- Animal venoms and toxins are rich sources of bioactive peptides.
- Disulfide bonds enhance peptide stability and pharmacological activity.
- Discovering novel disulfide-containing peptides is crucial for drug development.
Purpose of the Study:
- To develop and apply a novel workflow for identifying disulfide-containing peptides.
- To screen frog skin secretions for new bioactive peptides with pharmacologic relevance.
- To utilize 3D mass mapping for distinguishing sulfur-containing peptides.
Main Methods:
- Developed a 3D mass mapping workflow utilizing mass, normalized isotopic shift (NIS), and normalized mass defect (NMD).
- Investigated skin secretions from Odorrana schmackeri and Bombina variegata.
- Separated peptides using nanoflow LC, acquired high-resolution scans, and calculated NMD and NIS.
- Selected candidate peptides with low NMD and high NIS for de novo sequencing.
Main Results:
- Successfully differentiated sulfur-containing peptides from those lacking sulfur using 3D mass mapping.
- Identified several novel peptides containing inter- and intra-molecular disulfide bonds.
- Demonstrated the utility of the workflow in discovering new bioactive peptides from complex biological samples.
Conclusions:
- The 3D mass mapping workflow is effective for discovering novel disulfide-containing peptides.
- Frog skin secretions are a promising source of pharmacologically relevant peptides.
- This approach advances the discovery of peptide-based therapeutics.

