Structure-based predictions broadly link transcription factor mutations to gene expression changes in cancers

Thousands of unique mutations in transcription factors (TFs) arise in cancers, and the functional and biological roles of relatively few of these have been characterized. Here, we used structure-based methods developed specifically for DNA-binding proteins to systematically predict the consequences...

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Detalles Bibliográficos
Autores principales: Ashworth, Justin, Bernard, Brady, Reynolds, Sheila, Plaisier, Christopher L., Shmulevich, Ilya, Baliga, Nitin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245936/
https://www.ncbi.nlm.nih.gov/pubmed/25378323
http://dx.doi.org/10.1093/nar/gku1031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245936/
https://www.ncbi.nlm.nih.gov/pubmed/25378323
http://dx.doi.org/10.1093/nar/gku1031

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