SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
Abstract Background Drug–drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential DDI. While various artificial intelligence methods can predict and identify potential DDI, they often overlook the sequence information of drug...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BMC
2024-01-01
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| Σειρά: | BMC Bioinformatics |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1186/s12859-024-05654-4 |
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