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...

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Detalles Bibliográficos
Autores principales: Niazi, Sarfaraz K., Mariam, Zamara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380192/
https://www.ncbi.nlm.nih.gov/pubmed/37511247
http://dx.doi.org/10.3390/ijms241411488

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