Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast

Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast

Abstract Background The need to mitigate and substitute the use of fossil fuels as the main energy matrix has led to the study and development of biofuels as an alternative. Second-generation (2G) ethanol arises as one biofuel with great potential, due to not only maintaining food security, but also...

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Bibliographic Details
Main Authors: Mateus Bernabe Fiamenghi, João Gabriel Ribeiro Bueno, Antônio Pedro Camargo, Guilherme Borelli, Marcelo Falsarella Carazzolle, Gonçalo Amarante Guimarães Pereira, Leandro Vieira dos Santos, Juliana José
Format: Article
Language:English
Published: BMC 2022-05-01
Series:Biotechnology for Biofuels and Bioproducts
Subjects:
Xylose
Xylose transporter
Machine learning
Feature selection
Pentose metabolism
Industrial biotechnology
Online Access:https://doi.org/10.1186/s13068-022-02153-7

Internet

https://doi.org/10.1186/s13068-022-02153-7

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