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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...
Autores principales: | Kibria, Md Raisul, Akbar, Refo Ilmiya, Nidadavolu, Poonam, Havryliuk, Oksana, Lafond, Sébastien, Azimi, Sepinoud |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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