Literature DB >> 28035823

Relationship between Passive Permeability and Molecular Polarity Using Block Relevance Analysis.

Gilles H Goetz1, Marina Shalaeva1, Giulia Caron2, Giuseppe Ermondi2, Laurence Philippe1.   

Abstract

EPSA is an experimental descriptor of molecular polarity obtained from chromatographic retention in supercritical fluid chromatography (SFC) systems, previously shown by Goetz et al. to correlate with passive permeability of cyclic peptides. The present study focuses on EPSA in relation to passive permeability of small molecules. We applied block relevance (BR) analysis to interpret the relative significance of mechanistic forces prevailing in EPSA. The BR analysis is a computational tool that allows the interpretation of the balance of intermolecular interactions governing systems such as the aforementioned chromatographic retention in EPSA. EPSA and passive permeability determined by Ralph Russ canine kidney cells (RRCK) or low efflux Madin Darby canine kidney cells (MDCK-LE) and human epithelial colorectal adenocarcinoma cells (Caco-2), studied on a data set of commercial drugs, indicated that EPSA is relevant in describing permeability of hydrophilic drugs (CLogP < 1). We then verified, on a data set of 1699 Rule of 5 compliant Pfizer compounds, that when CLogP < 1, a value of EPSA < 100 significantly increases the likelihood of high permeability.

Entities:  

Keywords:  EPSA; SFC; block relevance analysis; lipophilicity; passive permeability; polarity

Mesh:

Substances:

Year:  2017        PMID: 28035823     DOI: 10.1021/acs.molpharmaceut.6b00724

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  6 in total

1.  Bioisostere Effects on the EPSA of Common Permeability-Limiting Groups.

Authors:  Andrew K Ecker; Dorothy A Levorse; Daniel A Victor; Matthew J Mitcheltree
Journal:  ACS Med Chem Lett       Date:  2022-05-23       Impact factor: 4.632

Review 2.  High throughput methods to measure the propensity of compounds to form intramolecular hydrogen bonding.

Authors:  Giulia Caron; Maura Vallaro; Giuseppe Ermondi
Journal:  Medchemcomm       Date:  2017-04-27       Impact factor: 3.597

3.  Prediction of Passive Membrane Permeability by Semi-Empirical Method Considering Viscous and Inertial Resistances and Different Rates of Conformational Change and Diffusion.

Authors:  Yoshifumi Fukunishi; Tadaaki Mashimo; Takashi Kurosawa; Yoshinori Wakabayashi; Hironori K Nakamura; Koh Takeuchi
Journal:  Mol Inform       Date:  2019-10-14       Impact factor: 3.353

4.  Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability.

Authors:  Giang Huong Ta; Cin-Syong Jhang; Ching-Feng Weng; Max K Leong
Journal:  Pharmaceutics       Date:  2021-01-28       Impact factor: 6.321

5.  Refinement of Computational Access to Molecular Physicochemical Properties: From Ro5 to bRo5.

Authors:  Matteo Rossi Sebastiano; Diego Garcia Jimenez; Maura Vallaro; Giulia Caron; Giuseppe Ermondi
Journal:  J Med Chem       Date:  2022-09-12       Impact factor: 8.039

6.  Designing Soluble PROTACs: Strategies and Preliminary Guidelines.

Authors:  Diego García Jiménez; Matteo Rossi Sebastiano; Maura Vallaro; Valentina Mileo; Daniela Pizzirani; Elisa Moretti; Giuseppe Ermondi; Giulia Caron
Journal:  J Med Chem       Date:  2022-04-25       Impact factor: 8.039

  6 in total

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