Prediction of drug candidates for clear cell renal cell carcinoma using a systems biology-based drug repositioning approach

BACKGROUND: The response rates of the clinical chemotherapies are still low in clear cell renal cell carcinoma (ccRCC). Computational drug repositioning is a promising strategy to discover new uses for existing drugs to treat patients who cannot get benefits from clinical drugs. METHODS: We proposed...

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Detalles Bibliográficos
Autores principales: Li, Xiangyu, Shong, Koeun, Kim, Woonghee, Yuan, Meng, Yang, Hong, Sato, Yusuke, Kume, Haruki, Ogawa, Seishi, Turkez, Hasan, Shoaie, Saeed, Boren, Jan, Nielsen, Jens, Uhlen, Mathias, Zhang, Cheng, Mardinoglu, Adil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960981/
https://www.ncbi.nlm.nih.gov/pubmed/35339898
http://dx.doi.org/10.1016/j.ebiom.2022.103963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960981/
https://www.ncbi.nlm.nih.gov/pubmed/35339898
http://dx.doi.org/10.1016/j.ebiom.2022.103963

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