Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques

Most pharmaceutical formulation developments are complex and ideal formulations are generally obtained after extensive experimentation. Machine learning is increasingly advancing many aspects in modern society and has achieved significant success in multiple subjects. Current research demonstrated t...

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Detalles Bibliográficos
Autores principales: Zhao, Qianqian, Ye, Zhuyifan, Su, Yan, Ouyang, Defang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Original article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900559/
https://www.ncbi.nlm.nih.gov/pubmed/31867169
http://dx.doi.org/10.1016/j.apsb.2019.04.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900559/
https://www.ncbi.nlm.nih.gov/pubmed/31867169
http://dx.doi.org/10.1016/j.apsb.2019.04.004

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