Literature DB >> 20419430

Targeting drug transporters - combining in silico and in vitro approaches to predict in vivo.

Praveen M Bahadduri1, James E Polli, Peter W Swaan, Sean Ekins.   

Abstract

Transporter proteins are expressed throughout the human body in different vital organs. They play an important role to various extents in determining absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of therapeutic molecules. Over the past decade, numerous drug transporters have been cloned and considerable progress has been made toward understanding the molecular characteristics of individual transporters. In this chapter several in vitro and in silico techniques are described with applications to understand transporter behavior. These include employing new techniques to rapidly identify novel ligands for transporters. Ultimately these methods should lead to a greater overall appreciation of the role of transporters in vivo.

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Year:  2010        PMID: 20419430     DOI: 10.1007/978-1-60761-700-6_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Authors:  Alexandru Korotcov; Valery Tkachenko; Daniel P Russo; Sean Ekins
Journal:  Mol Pharm       Date:  2017-11-13       Impact factor: 4.939

2.  Computational modeling to accelerate the identification of substrates and inhibitors for transporters that affect drug disposition.

Authors:  S Ekins; J E Polli; P W Swaan; S H Wright
Journal:  Clin Pharmacol Ther       Date:  2012-09-26       Impact factor: 6.875

3.  A substrate pharmacophore for the human organic cation/carnitine transporter identifies compounds associated with rhabdomyolysis.

Authors:  Sean Ekins; Lei Diao; James E Polli
Journal:  Mol Pharm       Date:  2012-02-28       Impact factor: 4.939

Review 4.  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

5.  Prediction of promiscuous p-glycoprotein inhibition using a novel machine learning scheme.

Authors:  Max K Leong; Hong-Bin Chen; Yu-Hsuan Shih
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

Review 6.  Induced pluripotent stem cells: applications in regenerative medicine, disease modeling, and drug discovery.

Authors:  Vimal K Singh; Manisha Kalsan; Neeraj Kumar; Abhishek Saini; Ramesh Chandra
Journal:  Front Cell Dev Biol       Date:  2015-02-02

Review 7.  Stem cells: a model for screening, discovery and development of drugs.

Authors:  Satish Srinivas Kitambi; Gayathri Chandrasekar
Journal:  Stem Cells Cloning       Date:  2011-09-27
  7 in total

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