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^*

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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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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

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PROVIDE and the Potatoes
Simon Gregersen (Foredragsholder)
10 feb. 2021
Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed

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Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
Jafarpour, A., Gregersen, S., Marciel Gomes, R., Marcatili, P., Hegelund Olsen, T., Jacobsen, C., Overgaard, M. T. & Sørensen, A. D. M., 27 nov. 2020, I: Marine Drugs. 18, 12, 599.
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Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk in vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
Jafarpour, A., Gregersen, S., Gomes, R. M., Marcatili, P., Olsen, T. H., Jacobsen, C., Overgaard, M. T. & Sørensen, A. D. M., 4 nov. 2020
Publikation: Andet › Andet bidrag › Forskning
Identifying useful peptides derived from seaweed, potato and single cell protein with emulsifying properties.
Yesiltas, B., Lægsgaard, L., Brinch, M. L., Hansen, E. B., Jacobsen, C., Marcatili, P., Olsen, T. H., Gregersen, S. & García Moreno, P. J., 13 jun. 2019.
Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review

Citationsformater

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

PY - 2020/12

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JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

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

Adgang til dokumentet

PROVIDE: Protein valorization through informatics, hydrolysis, and separation

PROVIDE and the Potatoes

Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction

Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk in vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction

Identifying useful peptides derived from seaweed, potato and single cell protein with emulsifying properties.

Citationsformater