Bioinformatics assisted construction of the link between biosynthetic gene clusters and secondary metabolites in fungi.
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| Autori principali: | , , , , , , , , |
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| Natura: | Artículo científico |
| Lingua: | en |
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Biotechnology advances
2025
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| _version_ | 1868266237309485056 |
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| author | Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo |
| author_facet | Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo |
| collection | PubMed - marine biology |
| contents | Bioinformatics assisted construction of the link between biosynthetic gene clusters and secondary metabolites in fungi. Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo Multigene Family Computational Biology Fungi Secondary Metabolism Biological Products Biosynthetic Pathways Fungal secondary metabolites are considered as important resources for drug discovery. Despite various methods being employed to facilitate the discovery of new fungal secondary metabolites, the trend of identifying novel secondary metabolites from fungi is inevitably slowing down. Under laboratory conditions, the majority of biosynthetic gene clusters, which store information for secondary metabolites, remain inactive. Therefore, establishing the link between biosynthetic gene clusters and secondary metabolites would contribute to understanding the genetic logic underlying secondary metabolite biosynthesis and alleviating the current challenges in discovering novel natural products. Bioinformatics methods have garnered significant attention due to their powerful capabilities in data mining and analysis, playing a crucial role in various aspects. Thus, we have summarized successful cases since 2016 in which bioinformatics methods were utilized to establish the link between fungal biosynthetic gene clusters and secondary metabolites, focusing on their biosynthetic gene clusters and associated secondary metabolites, with the goal of aiding the field of natural product discovery. |
| format | Artículo científico |
| id | pubmed_40024584 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Biotechnology advances |
| record_format | pubmed |
| spellingShingle | Bioinformatics assisted construction of the link between biosynthetic gene clusters and secondary metabolites in fungi. Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo Multigene Family Computational Biology Fungi Secondary Metabolism Biological Products Biosynthetic Pathways Bioinformatics assisted construction of the link between biosynthetic gene clusters and secondary metabolites in fungi. Lv, Hua-Wei Tang, Jia-Gui Wei, Bin Zhu, Meng-Di Zhang, Hua-Wei Zhou, Zhong-Bo Fan, Bo-Yi Wang, Hong Li, Xing-Nuo Multigene Family Computational Biology Fungi Secondary Metabolism Biological Products Biosynthetic Pathways Fungal secondary metabolites are considered as important resources for drug discovery. Despite various methods being employed to facilitate the discovery of new fungal secondary metabolites, the trend of identifying novel secondary metabolites from fungi is inevitably slowing down. Under laboratory conditions, the majority of biosynthetic gene clusters, which store information for secondary metabolites, remain inactive. Therefore, establishing the link between biosynthetic gene clusters and secondary metabolites would contribute to understanding the genetic logic underlying secondary metabolite biosynthesis and alleviating the current challenges in discovering novel natural products. Bioinformatics methods have garnered significant attention due to their powerful capabilities in data mining and analysis, playing a crucial role in various aspects. Thus, we have summarized successful cases since 2016 in which bioinformatics methods were utilized to establish the link between fungal biosynthetic gene clusters and secondary metabolites, focusing on their biosynthetic gene clusters and associated secondary metabolites, with the goal of aiding the field of natural product discovery. |
| title | Bioinformatics assisted construction of the link between biosynthetic gene clusters and secondary metabolites in fungi. |
| topic | Multigene Family Computational Biology Fungi Secondary Metabolism Biological Products Biosynthetic Pathways |
| url | https://pubmed.ncbi.nlm.nih.gov/40024584/ |