A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening

We present an integrated approach that predicts and validates novel anti-cancer drug targets. We first built a classifier that integrates a variety of genomic and systematic datasets to prioritize drug targets specific for breast, pancreatic and ovarian cancer. We then devised strategies to inhibit...

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Detalles Bibliográficos
Autores principales: Jeon, Jouhyun, Nim, Satra, Teyra, Joan, Datti, Alessandro, Wrana, Jeffrey L, Sidhu, Sachdev S, Moffat, Jason, Kim, Philip M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143549/
https://www.ncbi.nlm.nih.gov/pubmed/25165489
http://dx.doi.org/10.1186/s13073-014-0057-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143549/
https://www.ncbi.nlm.nih.gov/pubmed/25165489
http://dx.doi.org/10.1186/s13073-014-0057-7

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