GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier

As new drug targets, human microbes are proven to be closely related to human health. Effective computational methods for inferring potential microbe-drug associations can provide a useful complement to conventional experimental methods and will facilitate drug research and development. However, it...

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Detalles Bibliográficos
Autores principales: Ma, Qing, Tan, Yaqin, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893988/
https://www.ncbi.nlm.nih.gov/pubmed/36732704
http://dx.doi.org/10.1186/s12859-023-05158-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893988/
https://www.ncbi.nlm.nih.gov/pubmed/36732704
http://dx.doi.org/10.1186/s12859-023-05158-7

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