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A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug–target interactions from a constructed heterogeneous network, which integra...
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| Опубликовано в: : | Nat Commun |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5603535/ https://ncbi.nlm.nih.gov/pubmed/28924171 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-017-00680-8 |
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