Literature DB >> 22930396

In vitro measurement of drug efficiency index to aid early lead optimization.

Klara Valko1, Elisabetta Chiarparin, Shenaz Nunhuck, Dino Montanari.   

Abstract

The concepts of drug efficiency (D(eff) ) and Drug Efficiency Index (DEI) have been recently introduced as useful parameters to optimize the absorption, distribution, metabolism, elimination/excretion, and toxicity properties and in vivo efficacy potential of molecules during lead optimization and at pre-clinical stages. The available free drug concentration relative to dose depends on the compound's bioavailability, clearance, and the nonspecific binding to proteins and phospholipids. In this paper, we have demonstrated, using the data of over 115 known drug molecules, that the nonspecific binding can be determined in vitro very efficiently using biomimetic high-performance liquid chromatography measurements. DEI can therefore be estimated from in vitro measurements. The data show that high in vitro DEI values can be associated with lower efficacious dose. A strategy is described of how to use the DEI parameter during early lead optimization. An example is given to highlight the advantages of optimizing on DEI value rather than on potency alone. In order to facilitate the in silico compound design, correlation between in vitro DEI and in silico ligand efficiency parameters such as ligand lipophilicity efficiency has been revealed, suggesting the potential use of these efficiency-related parameters across lead optimization.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22930396     DOI: 10.1002/jps.23305

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  8 in total

Review 1.  The role of ligand efficiency metrics in drug discovery.

Authors:  Andrew L Hopkins; György M Keserü; Paul D Leeson; David C Rees; Charles H Reynolds
Journal:  Nat Rev Drug Discov       Date:  2014-02       Impact factor: 84.694

2.  Ligand efficiency metrics considered harmful.

Authors:  Peter W Kenny; Andrei Leitão; Carlos A Montanari
Journal:  J Comput Aided Mol Des       Date:  2014-06-05       Impact factor: 3.686

3.  Design, synthesis and biological evaluation of renin inhibitors guided by simulated annealing of chemical potential simulations.

Authors:  Ian S Cloudsdale; John K Dickson; Thomas E Barta; Brian S Grella; Emilie D Smith; John L Kulp; Frank Guarnieri; John L Kulp
Journal:  Bioorg Med Chem       Date:  2017-05-19       Impact factor: 3.641

4.  Phenyl Bis-Sulfonamide Keap1-Nrf2 Protein-Protein Interaction Inhibitors with an Alternative Binding Mode.

Authors:  Nikolaos Georgakopoulos; Sandeep Talapatra; Dina Dikovskaya; Sharadha Dayalan Naidu; Maureen Higgins; Jemma Gatliff; Aysel Ayhan; Roxani Nikoloudaki; Marjolein Schaap; Klara Valko; Farideh Javid; Albena T Dinkova-Kostova; Frank Kozielski; Geoffrey Wells
Journal:  J Med Chem       Date:  2022-05-12       Impact factor: 8.039

Review 5.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

Authors:  Bruno O Villoutreix; Melaine A Kuenemann; Jean-Luc Poyet; Heriberto Bruzzoni-Giovanelli; Céline Labbé; David Lagorce; Olivier Sperandio; Maria A Miteva
Journal:  Mol Inform       Date:  2014-06-02       Impact factor: 3.353

6.  Revisiting the application of Immobilized Artificial Membrane (IAM) chromatography to estimate in vivo distribution properties of drug discovery compounds based on the model of marketed drugs.

Authors:  Klara Valko; Silvia Rava; Shenaz Bunally; Scott Anderson
Journal:  ADMET DMPK       Date:  2020-01-31

7.  Prediction of hERG inhibition of drug discovery compounds using biomimetic HPLC measurements.

Authors:  Chrysanthos Stergiopoulos; Fotios Tsopelas; Klara Valko
Journal:  ADMET DMPK       Date:  2021-06-06

8.  Biomimetic properties and estimated in vivo distribution of chloroquine and hydroxy-chloroquine enantiomers.

Authors:  Klara L Valko; Tong Zhang
Journal:  ADMET DMPK       Date:  2020-01-25
  8 in total

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