Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs

Incorrect drug target identification is a major obstacle in drug discovery. Only 15% of drugs advance from Phase II to approval, with ineffective targets accounting for over 50% of these failures(1–3). Advances in data fusion and computational modeling have independently progressed towards addressin...

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Detalles Bibliográficos
Autores principales: Paliwal, Saee, de Giorgio, Alex, Neil, Daniel, Michel, Jean-Baptiste, Lacoste, Alix MB
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589557/
https://www.ncbi.nlm.nih.gov/pubmed/33106501
http://dx.doi.org/10.1038/s41598-020-74922-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589557/
https://www.ncbi.nlm.nih.gov/pubmed/33106501
http://dx.doi.org/10.1038/s41598-020-74922-z

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