Unlocking plant bioactive pathways: omics data harnessing and machine learning assisting.
Curr Opin Biotechnol
; 87: 103135, 2024 Jun.
Article
em En
| MEDLINE
| ID: mdl-38728826
ABSTRACT
Plant bioactives hold immense potential in the medicine and food industry. The recent advancements in omics applied in deciphering specialized metabolic pathways underscore the importance of high-quality genome releases and the wealth of data in metabolomics and transcriptomics. While harnessing data, whether integrated or standalone, has proven successful in unveiling plant natural product (PNP) biosynthetic pathways, the democratization of machine learning in biology opens exciting new opportunities for enhancing the exploration of these pathways. This review highlights the recent breakthroughs in disrupting plant-specialized biosynthetic pathways through the utilization of omics data harnessing and machine learning techniques.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Plantas
/
Metabolômica
/
Aprendizado de Máquina
Idioma:
En
Revista:
Curr Opin Biotechnol
Assunto da revista:
BIOTECNOLOGIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
França