Literature DB >> 11749589

Development of quantitative structure-property relationship models for early ADME evaluation in drug discovery. 2. Blood-brain barrier penetration.

R Liu1, H Sun, S S So.   

Abstract

A new molecular lipoaffinity descriptor was introduced in this paper to account for the effect of molecular hydrophobicity on blood-brain barrier penetration. The descriptor was defined based on Kier and Hall's atom-type electrotopological state indices. Its evaluation requires 2-D molecular bonding information only. A multiple linear regression equation using this descriptor and molecular weight reproduces the experimental logBB values of 55 training set compounds and 11 test set compounds satisfactorily with statistical parameters nearly identical to the best models based on polar surface area and ClogP. The results indicate that the lipoaffinity descriptor defined in this paper may be a significant descriptor for molecular transport properties across lipid bilayers.

Entities:  

Mesh:

Year:  2001        PMID: 11749589     DOI: 10.1021/ci010290i

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  20 in total

1.  Prediction of blood-brain barrier permeation using quantum chemically derived information.

Authors:  Michael C Hutter
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

2.  Computational models to predict blood-brain barrier permeation and CNS activity.

Authors:  Govindan Subramanian; Douglas B Kitchen
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

3.  The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification.

Authors:  Maciej Przybyłek; Waldemar Studziński; Alicja Gackowska; Jerzy Gaca
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-30       Impact factor: 4.223

4.  New predictive models for blood-brain barrier permeability of drug-like molecules.

Authors:  Sandhya Kortagere; Dmitriy Chekmarev; William J Welsh; Sean Ekins
Journal:  Pharm Res       Date:  2008-04-16       Impact factor: 4.200

5.  ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage.

Authors:  Sichao Wang; Youyong Li; Junmei Wang; Lei Chen; Liling Zhang; Huidong Yu; Tingjun Hou
Journal:  Mol Pharm       Date:  2012-03-16       Impact factor: 4.939

6.  Testing physical models of passive membrane permeation.

Authors:  Siegfried S F Leung; Jona Mijalkovic; Kenneth Borrelli; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2012-05-24       Impact factor: 4.956

7.  Rank order entropy: why one metric is not enough.

Authors:  Margaret R McLellan; M Dominic Ryan; Curt M Breneman
Journal:  J Chem Inf Model       Date:  2011-08-29       Impact factor: 4.956

8.  Qualitative prediction of blood-brain barrier permeability on a large and refined dataset.

Authors:  Markus Muehlbacher; Gudrun M Spitzer; Klaus R Liedl; Johannes Kornhuber
Journal:  J Comput Aided Mol Des       Date:  2011-11-23       Impact factor: 3.686

Review 9.  Back to the future: can physical models of passive membrane permeability help reduce drug candidate attrition and move us beyond QSPR?

Authors:  Robert V Swift; Rommie E Amaro
Journal:  Chem Biol Drug Des       Date:  2013-01       Impact factor: 2.817

Review 10.  Molecular determinants of blood-brain barrier permeation.

Authors:  Werner J Geldenhuys; Afroz S Mohammad; Chris E Adkins; Paul R Lockman
Journal:  Ther Deliv       Date:  2015-08-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.