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Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review
In modern drug discovery, the combination of chemoinformatics and quantitative structure–activity relationship (QSAR) modeling has emerged as a formidable alliance, enabling researchers to harness the vast potential of machine learning (ML) techniques for predictive molecular design and analysis. Th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380192/ https://www.ncbi.nlm.nih.gov/pubmed/37511247 http://dx.doi.org/10.3390/ijms241411488 |