Literature DB >> 12036349

3-Aminopyrrolidinone farnesyltransferase inhibitors: design of macrocyclic compounds with improved pharmacokinetics and excellent cell potency.

Ian M Bell1, Steven N Gallicchio, Marc Abrams, Lorena S Beese, Douglas C Beshore, Hema Bhimnathwala, Michael J Bogusky, Carolyn A Buser, J Christopher Culberson, Joseph Davide, Michelle Ellis-Hutchings, Christine Fernandes, Jackson B Gibbs, Samuel L Graham, Kelly A Hamilton, George D Hartman, David C Heimbrook, Carl F Homnick, Hans E Huber, Joel R Huff, Kelem Kassahun, Kenneth S Koblan, Nancy E Kohl, Robert B Lobell, Joseph J Lynch, Ronald Robinson, A David Rodrigues, Jeffrey S Taylor, Eileen S Walsh, Theresa M Williams, C Blair Zartman.   

Abstract

A series of macrocyclic 3-aminopyrrolidinone farnesyltransferase inhibitors (FTIs) has been synthesized. Compared with previously described linear 3-aminopyrrolidinone FTIs such as compound 1, macrocycles such as 49 combined improved pharmacokinetic properties with a reduced potential for side effects. In dogs, oral bioavailability was good to excellent, and increases in plasma half-life were due to attenuated clearance. It was observed that in vivo clearance correlated with the flexibility of the molecules and this concept proved useful in the design of FTIs that exhibited low clearance, such as FTI 78. X-ray crystal structures of compounds 49 and 66 complexed with farnesyltransferase (FTase)-farnesyl diphosphate (FPP) were determined, and they provide details of the key interactions in such ternary complexes. Optimization of this 3-aminopyrrolidinone series of compounds led to significant increases in potency, providing 83 and 85, the most potent inhibitors of FTase in cells described to date.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12036349     DOI: 10.1021/jm010531d

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  10 in total

1.  Cyclization and Docking Protocol for Cyclic Peptide-Protein Modeling Using HADDOCK2.4.

Authors:  Vicky Charitou; Siri C van Keulen; Alexandre M J J Bonvin
Journal:  J Chem Theory Comput       Date:  2022-06-02       Impact factor: 6.578

2.  Tuning HERG out: antitarget QSAR models for drug development.

Authors:  Rodolpho C Braga; Vinicius M Alves; Meryck F B Silva; Eugene Muratov; Denis Fourches; Alexander Tropsha; Carolina H Andrade
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

3.  Structural basis for binding and selectivity of antimalarial and anticancer ethylenediamine inhibitors to protein farnesyltransferase.

Authors:  Michael A Hast; Steven Fletcher; Christopher G Cummings; Erin E Pusateri; Michelle A Blaskovich; Kasey Rivas; Michael H Gelb; Wesley C Van Voorhis; Said M Sebti; Andrew D Hamilton; Lorena S Beese
Journal:  Chem Biol       Date:  2009-02-27

4.  Stereoselective Inhibition of the hERG1 Potassium Channel.

Authors:  Liliana Sintra Grilo; Pierre-Alain Carrupt; Hugues Abriel
Journal:  Front Pharmacol       Date:  2010-11-22       Impact factor: 5.810

5.  Peptidic Macrocycles - Conformational Sampling and Thermodynamic Characterization.

Authors:  Anna S Kamenik; Uta Lessel; Julian E Fuchs; Thomas Fox; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2018-04-20       Impact factor: 4.956

6.  Gene expression analysis in response to osmotic stimuli in the intervertebral disc with DNA microarray.

Authors:  Wenzhi Zhang; Xu Li; Xifu Shang; Qichun Zhao; Yefeng Hu; Xiang Xu; Rui He; Liqun Duan; Feng Zhang
Journal:  Eur J Med Res       Date:  2013-12-27       Impact factor: 2.175

7.  Computational Macrocyclization: From de novo Macrocycle Generation to Binding Affinity Estimation.

Authors:  Vincent Wagner; Linda Jantz; Hans Briem; Kai Sommer; Matthias Rarey; Clara D Christ
Journal:  ChemMedChem       Date:  2017-10-25       Impact factor: 3.466

8.  Macrocycle Cell Permeability Measured by Solvation Free Energies in Polar and Apolar Environments.

Authors:  Anna S Kamenik; Johannes Kraml; Florian Hofer; Franz Waibl; Patrick K Quoika; Ursula Kahler; Michael Schauperl; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2020-06-29       Impact factor: 6.162

9.  Conformational analysis of macrocycles: comparing general and specialized methods.

Authors:  Gustav Olanders; Hiba Alogheli; Peter Brandt; Anders Karlén
Journal:  J Comput Aided Mol Des       Date:  2020-01-21       Impact factor: 3.686

10.  Benchmark of Generic Shapes for Macrocycles.

Authors:  Atilio Reyes Romero; Angel Jonathan Ruiz-Moreno; Matthew R Groves; Marco Velasco-Velázquez; Alexander Dömling
Journal:  J Chem Inf Model       Date:  2020-12-03       Impact factor: 6.162

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.