Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity
Abstract Chemogenomics, also called proteochemometrics, covers a range of computational methods that can be used to predict protein–ligand interactions at large scales in the protein and chemical spaces. They differ from more classical ligand-based methods (also called QSAR) that predict ligands for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-02-01
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| Series: | Journal of Cheminformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13321-020-0413-0 |