Activities per year
Project Details
Description
Recently, we identified a number of peptides derived from potato proteins with an exceptional potential as e.g. emulsifiers (two manuscripts attached). Although mass spectrometry (MS) can be used to quantify proteins in a complex mixture, the quantitative information on the peptide-level is sparse. Consequently, it is challenging to determine the content quantitatively and thereby qualitatively estimate the financial potential in extracting particularly bioactive peptides.
We aim to develop a simple and universal method to quantify peptides in a highly complex mixture without the need of expensive and tedious processing. The method will be used to evaluate the unused potential of bioactive food peptides in potato protein but will also be applicable for other protein rich side stream in the food industry (and much more).
| Acronym | Q-BIOPEP |
|---|---|
| Status | Finished |
| Effective start/end date | 15/06/2021 → 14/06/2024 |
Collaborative partners
- AKV Langholt (Project partner)
Funding
- Karl Pedersen og Hustrus Industrifond: DKK2,200,000.00
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 17 Partnerships for the Goals
Fingerprint
Activities
- 1 Peer review of manuscripts
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Food Hydrocolloids (Journal)
Gregersen, S. (Peer reviewer) & Abdul Khalek Gharzeddine, N. (Peer reviewer)
4 Jan 2022Activity: Editorial work and peer review › Peer review of manuscripts › Research
Projects
- 1 Finished
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PROVIDE: Protein valorization through informatics, hydrolysis, and separation
Gregersen Echers, S. (CoI), Overgaard, M. T. (CoPI), Hansen, E. B. (PI), Bang-Berthelsen, I. (Project Coordinator), Jacobsen, C. (CoPI), García Moreno, P. J. (CoI), Marcatili, P. (CoPI) & Yesiltas, B. (CoI)
01/09/2017 → 30/12/2022
Project: Research
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Decoding the Impact of Neighboring Amino Acid on ESI-MS Intensity Output through Deep Learning
Abdul-Khalek, N., Wimmer, R., Overgaard, M. T. & Echers, S. G., 6 Feb 2024, bioRxiv, 28 p.Research output: Working paper/Preprint › Preprint
Open AccessFile36 Downloads (Pure) -
Decoding the impact of neighboring amino acids on ESI-MS intensity output through deep learning
Abdul-Khalek, N., Wimmer, R., Overgaard, M. T. & Gregersen Echers, S., 30 Oct 2024, In: Journal of Proteomics. 309, 105322.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)115 Downloads (Pure) -
To fly, or not to fly, that is the question: A deep learning model for peptide detectability prediction in mass spectrometry
Abdul-Khalek, N., Picciani, M., Wimmer, R., Overgaard, M. T., Wilhelm, M. & Echers, S. G., 31 Oct 2024, bioRxiv, 31 p.Research output: Working paper/Preprint › Preprint
Open AccessFile69 Downloads (Pure)