The application of machine learning methods to the prediction of novel ligands for RORγ/RORγT receptors

In this work, we developed and applied a computational procedure for creating and validating predictive models capable of estimating the biological activity of ligands. The combination of modern machine learning methods, experimental data, and the appropriate setup of molecular descriptors led to a...

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Detalles Bibliográficos
Autores principales: Bachorz, Rafał A., Pastwińska, Joanna, Nowak, Damian, Karaś, Kaja, Karwaciak, Iwona, Ratajewski, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663739/
https://www.ncbi.nlm.nih.gov/pubmed/38022699
http://dx.doi.org/10.1016/j.csbj.2023.10.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663739/
https://www.ncbi.nlm.nih.gov/pubmed/38022699
http://dx.doi.org/10.1016/j.csbj.2023.10.021

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