Predicting a Drug’s Membrane Permeability: A Computational Model Validated With in Vitro Permeability Assay Data

Volume: 121, Issue: 20, Pages: 5228 - 5237
Published: May 12, 2017
Abstract
Membrane permeability is a key property to consider during the drug design process, and particularly vital when dealing with small molecules that have intracellular targets as their efficacy highly depends on their ability to cross the membrane. In this work, we describe the use of umbrella sampling molecular dynamics (MD) computational modeling to comprehensively assess the passive permeability profile of a range of compounds through a lipid...
Paper Details
Title
Predicting a Drug’s Membrane Permeability: A Computational Model Validated With in Vitro Permeability Assay Data
Published Date
May 12, 2017
Volume
121
Issue
20
Pages
5228 - 5237
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.