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WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest
MOTIVATION: Precise assessment of ligand bioactivities (including IC(50), EC(50), K(i), K(d), etc.) is essential for virtual screening and lead compound identification. However, not all ligands have experimentally determined activities. In particular, many G protein-coupled receptors (GPCRs), which...
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| Published in: | Bioinformatics |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6355101/ https://ncbi.nlm.nih.gov/pubmed/29432522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty070 |
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