Literature DB >> 21269824

Optimization of a novel class of benzimidazole-based farnesoid X receptor (FXR) agonists to improve physicochemical and ADME properties.

Hans G F Richter1, G M Benson, K H Bleicher, D Blum, E Chaput, N Clemann, S Feng, C Gardes, U Grether, P Hartman, B Kuhn, R E Martin, J-M Plancher, M G Rudolph, F Schuler, S Taylor.   

Abstract

Structure-guided lead optimization of recently described benzimidazolyl acetamides addressed the key liabilities of the previous lead compound 1. These efforts culminated in the discovery of 4-{(S)-2-[2-(4-chloro-phenyl)-5,6-difluoro-benzoimidazol-1-yl]-2-cyclohexyl-acetylamino}-3-fluoro-benzoic acid 7g, a highly potent and selective FXR agonist with excellent physicochemical and ADME properties and potent lipid lowering activity after oral administration to LDL receptor deficient mice.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21269824     DOI: 10.1016/j.bmcl.2010.12.123

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  23 in total

Review 1.  Chemistry and biology of multicomponent reactions.

Authors:  Alexander Dömling; Wei Wang; Kan Wang
Journal:  Chem Rev       Date:  2012-03-22       Impact factor: 60.622

2.  Conformational dynamics of human FXR-LBD ligand interactions studied by hydrogen/deuterium exchange mass spectrometry: insights into the antagonism of the hypolipidemic agent Z-guggulsterone.

Authors:  Liping Yang; David Broderick; Yuan Jiang; Victor Hsu; Claudia S Maier
Journal:  Biochim Biophys Acta       Date:  2014-06-18

3.  D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Authors:  Zied Gaieb; Shuai Liu; Symon Gathiaka; Michael Chiu; Huanwang Yang; Chenghua Shao; Victoria A Feher; W Patrick Walters; Bernd Kuhn; Markus G Rudolph; Stephen K Burley; Michael K Gilson; Rommie E Amaro
Journal:  J Comput Aided Mol Des       Date:  2017-12-04       Impact factor: 3.686

4.  Optimal affinity ranking for automated virtual screening validated in prospective D3R grand challenges.

Authors:  Bentley M Wingert; Rick Oerlemans; Carlos J Camacho
Journal:  J Comput Aided Mol Des       Date:  2017-09-16       Impact factor: 3.686

5.  Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2.

Authors:  Maria Kadukova; Sergei Grudinin
Journal:  J Comput Aided Mol Des       Date:  2017-09-14       Impact factor: 3.686

6.  Workflows and performances in the ranking prediction of 2016 D3R Grand Challenge 2: lessons learned from a collaborative effort.

Authors:  Ying-Duo Gao; Yuan Hu; Alejandro Crespo; Deping Wang; Kira A Armacost; James I Fells; Xavier Fradera; Hongwu Wang; Huijun Wang; Brad Sherborne; Andreas Verras; Zhengwei Peng
Journal:  J Comput Aided Mol Des       Date:  2017-10-06       Impact factor: 3.686

7.  Using physics-based pose predictions and free energy perturbation calculations to predict binding poses and relative binding affinities for FXR ligands in the D3R Grand Challenge 2.

Authors:  Christina Athanasiou; Sofia Vasilakaki; Dimitris Dellis; Zoe Cournia
Journal:  J Comput Aided Mol Des       Date:  2017-11-08       Impact factor: 3.686

8.  Lessons learned in induced fit docking and metadynamics in the Drug Design Data Resource Grand Challenge 2.

Authors:  Matthew P Baumgartner; David A Evans
Journal:  J Comput Aided Mol Des       Date:  2017-11-10       Impact factor: 3.686

9.  Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2.

Authors:  Veronica Salmaso; Mattia Sturlese; Alberto Cuzzolin; Stefano Moro
Journal:  J Comput Aided Mol Des       Date:  2017-08-24       Impact factor: 3.686

10.  Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations.

Authors:  Edithe Selwa; Eddy Elisée; Agustin Zavala; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2017-09-02       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.