Modeling Drugs-PLGA Nanoparticles Interactions Using Gaussian Processes: Pharmaceutics Informatics A...
Modeling Drugs-PLGA Nanoparticles Interactions Using Gaussian Processes: Pharmaceutics Informatics Approach
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
The objective of this study was to correlate the binding of drugs on a very popular nanoparticulate polymeric matrix; PLGA nanoparticles with their main constitutional, electronic and physico-chemical descriptors. Gaussian Processes (GPs) was the artificial intelligence machine learning method that was utilized to fulfil this task. The method could...
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Full title
Modeling Drugs-PLGA Nanoparticles Interactions Using Gaussian Processes: Pharmaceutics Informatics Approach
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TN_cdi_proquest_journals_2918304721
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918304721
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ISSN
1040-7278
E-ISSN
1572-8862
DOI
10.1007/s10876-021-02126-0
