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SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction
Deep learning methods, which can predict the binding affinity of a drug–target protein interaction, reduce the time and cost of drug discovery. In this study, we propose a novel deep convolutional neural network called SE-OnionNet, with two squeeze-and-excitation (SE) modules, to computationally pre...
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| Foilsithe in: | Front Genet |
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| Main Authors: | , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Frontiers Media S.A.
2021
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7962986/ https://ncbi.nlm.nih.gov/pubmed/33737946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.607824 |
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