Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach

To better combat the expansion of antibiotic resistance in pathogens, new compounds, particularly those with novel mechanisms-of-action [MOA], represent a major research priority in biomedical science. However, rediscovery of known antibiotics demonstrates a need for approaches that accurately ident...

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Detalles Bibliográficos
Autores principales: Espinoza, Josh L., Dupont, Chris L., O’Rourke, Aubrie, Beyhan, Sinem, Morales, Pavel, Spoering, Amy, Meyer, Kirsten J., Chan, Agnes P., Choi, Yongwook, Nierman, William C., Lewis, Kim, Nelson, Karen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031737/
https://www.ncbi.nlm.nih.gov/pubmed/33780444
http://dx.doi.org/10.1371/journal.pcbi.1008857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031737/
https://www.ncbi.nlm.nih.gov/pubmed/33780444
http://dx.doi.org/10.1371/journal.pcbi.1008857

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