A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network
Abstract Background Drug-target interaction prediction is of great significance for narrowing down the scope of candidate medications, and thus is a vital step in drug discovery. Because of the particularity of biochemical experiments, the development of new drugs is not only costly, but also time-c...
Zapisane w:
| Główni autorzy: | , , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BMC
2020-09-01
|
| Seria: | BMC Bioinformatics |
| Hasła przedmiotowe: | |
| Dostęp online: | http://link.springer.com/article/10.1186/s12859-020-03677-1 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|