<p>Exploring machine learning algorithms and protein language model strategies to develop functional enzyme classification systems</p>

Diego Fernández; Álvaro  Olivera-Nappa; Roberto  Uribe-Paredes; David  Medina Ortiz

doi:10.7490/f1000research.1119569.1

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Fernández D, Olivera-Nappa Á, Uribe-Paredes R and Medina Ortiz D. Exploring machine learning algorithms and protein language model strategies to develop functional enzyme classification systems [version 1; not peer reviewed]. F1000Research 2023, 12:969 (poster) (https://doi.org/10.7490/f1000research.1119569.1)

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Exploring machine learning algorithms and protein language model strategies to develop functional enzyme classification systems

Diego Fernández, Álvaro Olivera-Nappa, Roberto Uribe-Paredes, David Medina Ortiz¹

Published 11 Aug 2023 (https://doi.org/10.7490/f1000research.1119569.1)

Author Affiliations

¹ Universidad de Magallanes, Punta Arenas, Magallanes y la Antártica Chilena Region, Chile

Copyright © 2023 Fernández D et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 11 Aug 2023

Exploring machine learning algorithms and protein language model strategies to develop functional enzyme classification systems
[version 1; not peer reviewed]

Diego Fernández, Álvaro Olivera-Nappa, Roberto Uribe-Paredes, David Medina Ortiz¹

Author Affiliations

¹ Universidad de Magallanes, Punta Arenas, Magallanes y la Antártica Chilena Region, Chile

Presented at

European Conference on Computational Biology (ECCB), 2023

Competing Interests

No competing interests were disclosed

Keywords

Machine learning algorithms, protein language models, EC number classifications, convolutional neural networks, enzyme discovery

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