Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors

Due to relatively high costs and labor required for experimental profiling of the full target space of chemical compounds, various machine learning models have been proposed as cost-effective means to advance this process in terms of predicting the most potent compound-target interactions for subseq...

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Detalles Bibliográficos
Autores principales: Cichonska, Anna, Ravikumar, Balaguru, Parri, Elina, Timonen, Sanna, Pahikkala, Tapio, Airola, Antti, Wennerberg, Krister, Rousu, Juho, Aittokallio, Tero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560747/
https://www.ncbi.nlm.nih.gov/pubmed/28787438
http://dx.doi.org/10.1371/journal.pcbi.1005678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560747/
https://www.ncbi.nlm.nih.gov/pubmed/28787438
http://dx.doi.org/10.1371/journal.pcbi.1005678

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