AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides

Tobias Hegelund Olsen; Betül Yesiltas; Frederikke Isa Marin; Margarita Pertseva; Pedro J. García-Moreno; Simon Gregersen; Michael Toft Overgaard; Charlotte Jacobsen; Ole Lund; Egon Bech Hansen; Paolo Marcatili

doi:10.1038/s41598-020-78319-w

AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides

Tobias Hegelund Olsen, Betül Yesiltas, Frederikke Isa Marin, Margarita Pertseva, Pedro J. García-Moreno, Simon Gregersen, Michael Toft Overgaard, Charlotte Jacobsen, Ole Lund, Egon Bech Hansen, Paolo Marcatili^*

^*Kontaktforfatter

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

16 Citationer (Scopus)

10 Downloads (Pure)

Originalsprog	Engelsk
Artikelnummer	21471
Tidsskrift	Scientific Reports
Vol/bind	10
Udgave nummer	1
ISSN	2045-2322
DOI	https://doi.org/10.1038/s41598-020-78319-w
Status	Udgivet - dec. 2020

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10.1038/s41598-020-78319-wLicens: CC BY 4.0

Open Access versionForlagets udgivne version, 1,26 MBLicens: CC BY 4.0

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1 Igangværende

PROVIDE: Protein valorization through informatics, hydrolysis, and separation
Gregersen, S., Overgaard, M. T., Hansen, E. B., Bang-Berthelsen, I., Jacobsen, C., García Moreno, P. J. & Marcatili, P.
Department of Chemistry and Bioscience, Faculty of Engineering and Sciences , Aalborg University , Aalborg , Denmark.
01/09/2017 → 30/09/2022
Projekter: Projekt › Forskning

1 Konferenceoplæg
1 Foredrag og præsentationer i privat eller offentlig virksomhed

Microbial proteins: Moving from feed to food applications aided by proteomics and bioinformatics
Simon Gregersen (Foredragsholder)
18 nov. 2021
Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
PROVIDE and the Potatoes
Simon Gregersen (Foredragsholder)
10 feb. 2021
Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed

How proteins can be extracted from red seaweed sustainably
Simon Gregersen & Michael Toft Overgaard
30/04/2021
1 element af Mediedækning
Presse/medie
Preserving emulsions with plant-based antioxidants
Simon Gregersen & Michael Toft Overgaard
05/04/2021
1 element af Mediedækning
Presse/medie

16 Citationer
3 Tidsskriftartikel
2 Konferenceabstrakt til konference
1 Andet bidrag

Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions
Yesiltas, B., García Moreno, P. J., Echers, S. G., Olsen, T. H., Jones, N. C., Hoffmann, S. V., Marcatili, P., Overgaard, M. T., Hansen, E. B. & Jacobsen, C., 15 aug. 2022, I: Food Chemistry. 385, 13 s., 132699.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Applying Quantitative Proteomics for Evaluation of Protein Quality, Nutritional Value, and Extraction Methods in Side-Streams of Industrial Carrageenan Production from the Red Seaweed Eucheuma denticulatum (Spinosum)
Gregersen, S., Yesiltas, B., García Moreno, P. J., Naseri, A., Holdt, S. L., Jacobsen, C., Hansen, E. B., Marcatili, P. & Overgaard, M. T., 1 okt. 2021.
Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review
Emulsifier peptides derived from seaweed, methanotrophic bacteria, and potato proteins identified by quantitative proteomics and bioinformatics
Yesiltas, B., Gregersen, S., Lægsgaard, L., Brinch, M. L., Olsen, T. H., Marcatili, P., Overgaard, M. T., Hansen, E. B., Jacobsen, C. & García-Moreno, P. J., 15 nov. 2021, I: Food Chemistry. 362, 12 s., 130217.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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4 Citationer (Scopus)

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Olsen, Tobias Hegelund ; Yesiltas, Betül ; Marin, Frederikke Isa ; Pertseva, Margarita ; García-Moreno, Pedro J. ; Gregersen, Simon ; Overgaard, Michael Toft ; Jacobsen, Charlotte ; Lund, Ole ; Hansen, Egon Bech ; Marcatili, Paolo. / AnOxPePred : using deep learning for the prediction of antioxidative properties of peptides. I: Scientific Reports. 2020 ; Bind 10, Nr. 1.

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title = "AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides",

author = "Olsen, {Tobias Hegelund} and Bet{\"u}l Yesiltas and Marin, {Frederikke Isa} and Margarita Pertseva and Garc{\'i}a-Moreno, {Pedro J.} and Simon Gregersen and Overgaard, {Michael Toft} and Charlotte Jacobsen and Ole Lund and Hansen, {Egon Bech} and Paolo Marcatili",

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doi = "10.1038/s41598-020-78319-w",

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AnOxPePred : using deep learning for the prediction of antioxidative properties of peptides. / Olsen, Tobias Hegelund; Yesiltas, Betül; Marin, Frederikke Isa; Pertseva, Margarita; García-Moreno, Pedro J.; Gregersen, Simon ; Overgaard, Michael Toft; Jacobsen, Charlotte; Lund, Ole; Hansen, Egon Bech; Marcatili, Paolo.

I: Scientific Reports, Bind 10, Nr. 1, 21471, 12.2020.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AU - Olsen, Tobias Hegelund

AU - Yesiltas, Betül

AU - Marin, Frederikke Isa

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AU - García-Moreno, Pedro J.

AU - Gregersen, Simon

AU - Overgaard, Michael Toft

AU - Jacobsen, Charlotte

AU - Lund, Ole

AU - Hansen, Egon Bech

AU - Marcatili, Paolo

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JF - Scientific Reports

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AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides

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Andre filer og links

Fingeraftryk

PROVIDE: Protein valorization through informatics, hydrolysis, and separation

Microbial proteins: Moving from feed to food applications aided by proteomics and bioinformatics

PROVIDE and the Potatoes

How proteins can be extracted from red seaweed sustainably

Preserving emulsions with plant-based antioxidants

Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions

Applying Quantitative Proteomics for Evaluation of Protein Quality, Nutritional Value, and Extraction Methods in Side-Streams of Industrial Carrageenan Production from the Red Seaweed Eucheuma denticulatum (Spinosum)

Emulsifier peptides derived from seaweed, methanotrophic bacteria, and potato proteins identified by quantitative proteomics and bioinformatics

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AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides

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