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Dipeptide Frequency of Word Frequency and Graph Convolutional Networks for DTA Prediction
Deep learning is an effective method to capture drug-target binding affinity, but low accuracy is still an obstacle to be overcome. Thus, we propose a novel predictor for drug-target binding affinity based on dipeptide frequency of word frequency encoding and a hybrid graph convolutional network. Wo...
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| Pubblicato in: | Front Bioeng Biotechnol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7147459/ https://ncbi.nlm.nih.gov/pubmed/32318557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2020.00267 |
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