AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides.

Tobias Hegelund Olsen, Margarita Pertseva, Pedro Jesús García Moreno, Charlotte Jacobsen, Ole Lund, Egon Bech Hansen, Paolo Marcatili

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

Original languageEnglish
Title of host publicationSustain Conference 2018 : Creating Technology for a Sustainable Society
EditorsCarlos Melero, Kristian Mølhave
Number of pages1
Place of PublicationLyngby, Denmark
PublisherTechnical University of Denmark
Publication date2018
Article numberF-2
Publication statusPublished - 2018
EventSustain conference 2018: Creating Technology for a Sustainable Society - Technical University of Denmark, Kongens Lyngby, Denmark
Duration: 29 Nov 201830 Nov 2018
http://www.sustain.dtu.dk/
http://www.sustain.dtu.dk/sessions#SessionR

Conference

ConferenceSustain conference 2018: Creating Technology for a Sustainable Society
LocationTechnical University of Denmark
CountryDenmark
CityKongens Lyngby
Period29/11/201830/11/2018
Internet address

Cite this

Olsen, T. H., Pertseva, M., García Moreno, P. J., Jacobsen, C., Lund, O., Hansen, E. B., & Marcatili, P. (2018). AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides. In C. Melero, & K. Mølhave (Eds.), Sustain Conference 2018: Creating Technology for a Sustainable Society [F-2] Lyngby, Denmark: Technical University of Denmark.
Olsen, Tobias Hegelund ; Pertseva, Margarita ; García Moreno, Pedro Jesús ; Jacobsen, Charlotte ; Lund, Ole ; Hansen, Egon Bech ; Marcatili, Paolo. / AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides. Sustain Conference 2018: Creating Technology for a Sustainable Society. editor / Carlos Melero ; Kristian Mølhave. Lyngby, Denmark : Technical University of Denmark, 2018.
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author = "Olsen, {Tobias Hegelund} and Margarita Pertseva and {Garc{\'i}a Moreno}, {Pedro Jes{\'u}s} and Charlotte Jacobsen and Ole Lund and Hansen, {Egon Bech} and Paolo Marcatili",
year = "2018",
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publisher = "Technical University of Denmark",

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Olsen, TH, Pertseva, M, García Moreno, PJ, Jacobsen, C, Lund, O, Hansen, EB & Marcatili, P 2018, AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides. in C Melero & K Mølhave (eds), Sustain Conference 2018: Creating Technology for a Sustainable Society., F-2, Technical University of Denmark, Lyngby, Denmark, Sustain conference 2018: Creating Technology for a Sustainable Society, Kongens Lyngby, Denmark, 29/11/2018.

AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides. / Olsen, Tobias Hegelund; Pertseva, Margarita; García Moreno, Pedro Jesús; Jacobsen, Charlotte; Lund, Ole; Hansen, Egon Bech; Marcatili, Paolo.

Sustain Conference 2018: Creating Technology for a Sustainable Society. ed. / Carlos Melero; Kristian Mølhave. Lyngby, Denmark : Technical University of Denmark, 2018. F-2.

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

TY - ABST

T1 - AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides.

AU - Olsen, Tobias Hegelund

AU - Pertseva, Margarita

AU - García Moreno, Pedro Jesús

AU - Jacobsen, Charlotte

AU - Lund, Ole

AU - Hansen, Egon Bech

AU - Marcatili, Paolo

PY - 2018

Y1 - 2018

M3 - Conference abstract in proceedings

BT - Sustain Conference 2018

A2 - Melero, Carlos

A2 - Mølhave, Kristian

PB - Technical University of Denmark

CY - Lyngby, Denmark

ER -

Olsen TH, Pertseva M, García Moreno PJ, Jacobsen C, Lund O, Hansen EB et al. AnOxPe-pred: Using deep learning for the prediction of antioxidative properties of peptides. In Melero C, Mølhave K, editors, Sustain Conference 2018: Creating Technology for a Sustainable Society. Lyngby, Denmark: Technical University of Denmark. 2018. F-2