Literature DB >> 24900175

Strategic use of plasma and microsome binding to exploit in vitro clearance in early drug discovery.

George Chang1, Stefanus J Steyn1, John P Umland1, Dennis O Scott1.   

Abstract

Apparent intrinsic clearance (CLia) determined from microsomal stability assays is a cornerstone in drug discovery. Categorical bins are routinely applied to this end point to facilitate analysis. However, such bins ignore the interdependent nature of apparent intrinsic microsome clearance on several ADME parameters. Considering CLia as a determinant for both metabolic stability and potential dose is more appropriate. In this context with proper accounting for nonspecific binding to microsomes and plasma, consideration of compounds with higher CLia may be warranted. The underlying benefit is the potential increase in the number of hits or chemical diversity for evaluation during the early stages of programs.

Keywords:  ADME parameters; Plasma binding; clearance; dose; fraction unbound; microsome binding

Year:  2010        PMID: 24900175      PMCID: PMC4007956          DOI: 10.1021/ml900012h

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.345


  10 in total

Review 1.  Lipophilicity in PK design: methyl, ethyl, futile.

Authors:  H van de Waterbeemd; D A Smith; B C Jones
Journal:  J Comput Aided Mol Des       Date:  2001-03       Impact factor: 3.686

2.  Prediction of human clearance of twenty-nine drugs from hepatic microsomal intrinsic clearance data: An examination of in vitro half-life approach and nonspecific binding to microsomes.

Authors:  R S Obach
Journal:  Drug Metab Dispos       Date:  1999-11       Impact factor: 3.922

3.  In silico ADMET traffic lights as a tool for the prioritization of HTS hits.

Authors:  Mario Lobell; Martin Hendrix; Berthold Hinzen; Jörg Keldenich; Heinrich Meier; Carsten Schmeck; Rudolf Schohe-Loop; Tobias Wunberg; Alexander Hillisch
Journal:  ChemMedChem       Date:  2006-11       Impact factor: 3.466

4.  Drug lipophilicity and microsomal protein concentration as determinants in the prediction of the fraction unbound in microsomal incubations.

Authors:  Michael Gertz; Peter J Kilford; J Brian Houston; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2007-12-20       Impact factor: 3.922

5.  A probabilistic approach to classifying metabolic stability.

Authors:  Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Katja Hansen; Antonius Ter Laak; Philip Lienau; Andreas Reichel; Nikolaus Heinrich; Klaus-Robert Müller
Journal:  J Chem Inf Model       Date:  2008-03-08       Impact factor: 4.956

Review 6.  Methods for predicting in vivo pharmacokinetics using data from in vitro assays.

Authors:  J Brian Houston; Aleksandra Galetin
Journal:  Curr Drug Metab       Date:  2008-11       Impact factor: 3.731

Review 7.  High throughput ADME screening: practical considerations, impact on the portfolio and enabler of in silico ADME models.

Authors:  Cornelis E C A Hop; Mark J Cole; Ralph E Davidson; David B Duignan; James Federico; John S Janiszewski; Kelly Jenkins; Suzanne Krueger; Rebecca Lebowitz; Theodore E Liston; Walter Mitchell; Mark Snyder; Stefan J Steyn; John R Soglia; Christine Taylor; Matt D Troutman; John Umland; Michael West; Kevin M Whalen; Veronica Zelesky; Sabrina X Zhao
Journal:  Curr Drug Metab       Date:  2008-11       Impact factor: 3.731

8.  Physiochemical drug properties associated with in vivo toxicological outcomes.

Authors:  Jason D Hughes; Julian Blagg; David A Price; Simon Bailey; Gary A Decrescenzo; Rajesh V Devraj; Edmund Ellsworth; Yvette M Fobian; Michael E Gibbs; Richard W Gilles; Nigel Greene; Enoch Huang; Teresa Krieger-Burke; Jens Loesel; Travis Wager; Larry Whiteley; Yao Zhang
Journal:  Bioorg Med Chem Lett       Date:  2008-07-24       Impact factor: 2.823

9.  Automated high throughput ADME assays for metabolic stability and cytochrome P450 inhibition profiling of combinatorial libraries.

Authors:  Kelly M Jenkins; Reginald Angeles; Marianne T Quintos; Rongda Xu; Daniel B Kassel; Robyn A Rourick
Journal:  J Pharm Biomed Anal       Date:  2004-03-10       Impact factor: 3.935

Review 10.  High-throughput screening for stability and inhibitory activity of compounds toward cytochrome P450-mediated metabolism.

Authors:  John H Ansede; Dhiren R Thakker
Journal:  J Pharm Sci       Date:  2004-02       Impact factor: 3.534

  10 in total
  9 in total

1.  Discovery, synthesis and characterization of a series of (1-alkyl-3-methyl-1H-pyrazol-5-yl)-2-(5-aryl-2H-tetrazol-2-yl)acetamides as novel GIRK1/2 potassium channel activators.

Authors:  Swagat Sharma; Krystian A Kozek; Kristopher K Abney; Sushil Kumar; Nagsen Gautam; Yazen Alnouti; C David Weaver; Corey R Hopkins
Journal:  Bioorg Med Chem Lett       Date:  2019-01-23       Impact factor: 2.823

2.  Discovery and Characterization of 1H-Pyrazol-5-yl-2-phenylacetamides as Novel, Non-Urea-Containing GIRK1/2 Potassium Channel Activators.

Authors:  Joshua M Wieting; Anish K Vadukoot; Swagat Sharma; Kristopher K Abney; Thomas M Bridges; J Scott Daniels; Ryan D Morrison; Kevin Wickman; C David Weaver; Corey R Hopkins
Journal:  ACS Chem Neurosci       Date:  2017-07-19       Impact factor: 4.418

3.  Solution-phase parallel synthesis and SAR of homopiperazinyl analogs as positive allosteric modulators of mGlu₄.

Authors:  Yiu-Yin Cheung; Rocio Zamorano; Anna L Blobaum; C David Weaver; P Jeffrey Conn; Craig W Lindsley; Colleen M Niswender; Corey R Hopkins
Journal:  ACS Comb Sci       Date:  2011-02-21       Impact factor: 3.784

4.  Discovery and characterization of benzyloxy piperidine based dopamine 4 receptor antagonists.

Authors:  Kirsten T Tolentino; Viktoriya Mashinson; Anish K Vadukoot; Corey R Hopkins
Journal:  Bioorg Med Chem Lett       Date:  2022-02-10       Impact factor: 2.823

5.  Discovery, synthesis and biological characterization of a series of N-(1-(1,1-dioxidotetrahydrothiophen-3-yl)-3-methyl-1H-pyrazol-5-yl)acetamide ethers as novel GIRK1/2 potassium channel activators.

Authors:  Swagat Sharma; Lauren Lesiak; Christopher D Aretz; Yu Du; Sushil Kumar; Nagsen Gautam; Yazen Alnouti; Nikilesh V Dhuria; Yashpal S Chhonker; C David Weaver; Corey R Hopkins
Journal:  RSC Med Chem       Date:  2021-06-21

6.  Synthesis and Biological Characterization of a Series of 2-Sulfonamidebenzamides as Allosteric Modulators of MrgX1.

Authors:  Swagat Sharma; Qi Peng; Anish K Vadukoot; Christopher D Aretz; Aaron A Jensen; Alexander I Wallick; Xinzhong Dong; Corey R Hopkins
Journal:  ACS Med Chem Lett       Date:  2022-04-19       Impact factor: 4.632

7.  Discovery of a series of 2-phenyl-N-(2-(pyrrolidin-1-yl)phenyl)acetamides as novel molecular switches that modulate modes of K(v)7.2 (KCNQ2) channel pharmacology: identification of (S)-2-phenyl-N-(2-(pyrrolidin-1-yl)phenyl)butanamide (ML252) as a potent, brain penetrant K(v)7.2 channel inhibitor.

Authors:  Yiu-Yin Cheung; Haibo Yu; Kaiping Xu; Beiyan Zou; Meng Wu; Owen B McManus; Min Li; Craig W Lindsley; Corey R Hopkins
Journal:  J Med Chem       Date:  2012-07-26       Impact factor: 7.446

8.  Discovery, Synthesis, and Preclinical Characterization of N-(3-Chloro-4-fluorophenyl)-1H-pyrazolo[4,3-b]pyridin-3-amine (VU0418506), a Novel Positive Allosteric Modulator of the Metabotropic Glutamate Receptor 4 (mGlu4).

Authors:  Darren W Engers; Anna L Blobaum; Rocco D Gogliotti; Yiu-Yin Cheung; James M Salovich; Pedro M Garcia-Barrantes; J Scott Daniels; Ryan Morrison; Carrie K Jones; Matthew G Soars; Xiaoliang Zhuo; Jeremy Hurley; John E Macor; Joanne J Bronson; P Jeffrey Conn; Craig W Lindsley; Colleen M Niswender; Corey R Hopkins
Journal:  ACS Chem Neurosci       Date:  2016-05-03       Impact factor: 4.418

9.  Further Exploration of the Benzimidazole Scaffold as TRPC5 Inhibitors: Identification of 1-Alkyl-2-(pyrrolidin-1-yl)-1H-benzo[d]imidazoles as Potent and Selective Inhibitors.

Authors:  Swagat Sharma; Juan L Pablo; Kirsten T Tolentino; Wacey Gallegos; Jennifer Hinman; Madison Beninato; MacKenzie Asche; Anna Greka; Corey R Hopkins
Journal:  ChemMedChem       Date:  2022-05-24       Impact factor: 3.540

  9 in total

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