Predicting drug/phospholipid complexation by the lightGBM method

Volume: 747, Pages: 137354 - 137354
Published: May 1, 2020
Abstract
This research aims to predict the complexation performance of phospholipid complex by machine learning methods. 341 drugs/phospholipid complex formulations were collected from the literature. The datasets were trained by the lightGBM method. To validate the prediction modeling, berberine (BBR) was used as the model drug to form the complex with phospholipid. Molecular dynamics simulation was used to investigate the molecular mechanism for...
Paper Details
Title
Predicting drug/phospholipid complexation by the lightGBM method
Published Date
May 1, 2020
Volume
747
Pages
137354 - 137354
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.