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Deep learning integration of molecular and interactome data for protein–compound interaction prediction
MOTIVATION: Virtual screening, which can computationally predict the presence or absence of protein–compound interactions, has attracted attention as a large-scale, low-cost, and short-term search method for seed compounds. Existing machine learning methods for predicting protein–compound interactio...
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| Publicado en: | J Cheminform |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer International Publishing
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8088618/ https://ncbi.nlm.nih.gov/pubmed/33933121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-021-00513-3 |
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