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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| 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 |