Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute–Lipid Interactions
This study explores the research area of drug solubility in lipid excipients, an area
persistently complex despite recent advancements in understanding and predicting …
persistently complex despite recent advancements in understanding and predicting …
Comparative analysis of chemical descriptors by machine learning reveals atomistic insights into solute–lipid interactions
JJ Lange, A Anelli, J Alsenz, M Kuentz, PJ O'Dwyer… - 2024 - cora.ucc.ie
This study explores the research area of drug solubility in lipid excipients, an area
persistently complex despite recent advancements in understanding and predicting …
persistently complex despite recent advancements in understanding and predicting …
Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute-Lipid Interactions
JJ Lange, A Anelli, J Alsenz, M Kuentz… - Molecular … - pubmed.ncbi.nlm.nih.gov
This study explores the research area of drug solubility in lipid excipients, an area
persistently complex despite recent advancements in understanding and predicting …
persistently complex despite recent advancements in understanding and predicting …
Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute-Lipid Interactions.
JJ Lange, A Anelli, J Alsenz, M Kuentz… - Molecular …, 2024 - europepmc.org
This study explores the research area of drug solubility in lipid excipients, an area
persistently complex despite recent advancements in understanding and predicting …
persistently complex despite recent advancements in understanding and predicting …