Predicting efficacy of drug-carrier nanoparticle designs for cancer treatment: a machine learning-based solution

Molecular Dynamic (MD) simulations are very effective in the discovery of nanomedicines for treating cancer, but these are computationally expensive and time-consuming. Existing studies integrating machine learning (ML) into MD simulation to enhance the process and enable efficient analysis cannot p...

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Detalles Bibliográficos
Autores principales: Kibria, Md Raisul, Akbar, Refo Ilmiya, Nidadavolu, Poonam, Havryliuk, Oksana, Lafond, Sébastien, Azimi, Sepinoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834306/
https://www.ncbi.nlm.nih.gov/pubmed/36631637
http://dx.doi.org/10.1038/s41598-023-27729-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834306/
https://www.ncbi.nlm.nih.gov/pubmed/36631637
http://dx.doi.org/10.1038/s41598-023-27729-7

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