Machine learning prediction of oncology drug targets based on protein and network properties

BACKGROUND: The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make in-silico target identification, reducing the cost and the time needed. RESULTS: We...

Descripción completa

Detalles Bibliográficos
Autores principales: Dezső, Zoltán, Ceccarelli, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071582/
https://www.ncbi.nlm.nih.gov/pubmed/32171238
http://dx.doi.org/10.1186/s12859-020-3442-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071582/
https://www.ncbi.nlm.nih.gov/pubmed/32171238
http://dx.doi.org/10.1186/s12859-020-3442-9

Ejemplares similares