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https://hdl.handle.net/1822/84644
Título: | Recent advances in data- and knowledge-driven approaches to explore primary microbial metabolism |
Autor(es): | Bartmanski, Bartosz Jan Rocha, Miguel Zimmermann-Kogadeeva, Maria |
Palavras-chave: | Metabolomics Microbiota Metabolic networks Machine learning Deep neural networks Genome-scale models Multi-omics integration |
Data: | 17-Mai-2023 |
Editora: | Elsevier 1 |
Revista: | Current Opinion in Chemical Biology |
Citação: | Bartmanski, B. J., Rocha, M., & Zimmermann-Kogadeeva, M. (2023, August). Recent advances in data- and knowledge-driven approaches to explore primary microbial metabolism. Current Opinion in Chemical Biology. Elsevier BV. http://doi.org/10.1016/j.cbpa.2023.102324 |
Resumo(s): | With the rapid progress in metabolomics and sequencing technologies, more data on the metabolome of single microbes and their communities become available, revealing the potential of microorganisms to metabolize a broad range of chemical compounds. The analysis of microbial metabolomics datasets remains challenging since it inherits the technical challenges of metabolomics analysis, such as compound identification and annotation, while harboring challenges in data interpretation, such as distinguishing metabolite sources in mixed samples. This review outlines the recent advances in computational methods to analyze primary microbial metabolism: knowledge-based approaches that take advantage of metabolic and molecular networks and data-driven approaches that employ machine/deep learning algorithms in combination with large-scale datasets. These methods aim at improving metabolite identification and disentangling reciprocal interactions between microbes and metabolites. We also discuss the perspective of combining these approaches and further developments required to advance the investigation of primary metabolism in mixed microbial samples. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/84644 |
DOI: | 10.1016/j.cbpa.2023.102324 |
ISSN: | 1367-5931 |
Versão da editora: | https://www.sciencedirect.com/journal/current-opinion-in-chemical-biology |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_56255_1.pdf | 855,36 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons