Leveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets

Fungal pathogens pose a global threat to human health, with Candida albicans among the leading killers. Systematic analysis of essential genes provides a powerful strategy to discover potential antifungal targets. Here, we build a machine learning model to generate genome-wide gene essentiality pred...

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Detalles Bibliográficos
Autores principales: Fu, Ci, Zhang, Xiang, Veri, Amanda O., Iyer, Kali R., Lash, Emma, Xue, Alice, Yan, Huijuan, Revie, Nicole M., Wong, Cassandra, Lin, Zhen-Yuan, Polvi, Elizabeth J., Liston, Sean D., VanderSluis, Benjamin, Hou, Jing, Yashiroda, Yoko, Gingras, Anne-Claude, Boone, Charles, O’Meara, Teresa R., O’Meara, Matthew J., Noble, Suzanne, Robbins, Nicole, Myers, Chad L., Cowen, Leah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586148/
https://www.ncbi.nlm.nih.gov/pubmed/34764269
http://dx.doi.org/10.1038/s41467-021-26850-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586148/
https://www.ncbi.nlm.nih.gov/pubmed/34764269
http://dx.doi.org/10.1038/s41467-021-26850-3

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