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DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks
MOTIVATION: Drug discovery demands rapid quantification of compound–protein interaction (CPI). However, there is a lack of methods that can predict compound–protein affinity from sequences alone with high applicability, accuracy and interpretability. RESULTS: We present a seamless integration of dom...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6748780/ https://ncbi.nlm.nih.gov/pubmed/30768156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz111 |
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