DRaW: prediction of COVID-19 antivirals by deep learning—an objection on using matrix factorization

BACKGROUND: Due to the high resource consumption of introducing a new drug, drug repurposing plays an essential role in drug discovery. To do this, researchers examine the current drug-target interaction (DTI) to predict new interactions for the approved drugs. Matrix factorization methods have much...

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Detalles Bibliográficos
Autores principales: Hashemi, S. Morteza, Zabihian, Arash, Hooshmand, Mohsen, Gharaghani, Sajjad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931173/
https://www.ncbi.nlm.nih.gov/pubmed/36793010
http://dx.doi.org/10.1186/s12859-023-05181-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931173/
https://www.ncbi.nlm.nih.gov/pubmed/36793010
http://dx.doi.org/10.1186/s12859-023-05181-8

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