Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study
Drug discovery (DD) research is a complex field with a high attrition rate. Machine learning (ML) approaches combined to chemoinformatics are of valuable input to this field. We, herein, focused on implementing multiple ML algorithms that shall learn from different molecular fingerprints (FPs) of 65...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SAGE Publishing
2022-04-01
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| Schriftenreihe: | Bioinformatics and Biology Insights |
| Online-Zugang: | https://doi.org/10.1177/11779322221090349 |
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