Literature DB >> 16821790

Proposal of a new binding orientation for non-peptide AT1 antagonists: homology modeling, docking and three-dimensional quantitative structure-activity relationship analysis.

Tiziano Tuccinardi1, Vincenzo Calderone, Simona Rapposelli, Adriano Martinelli.   

Abstract

A three-dimensional model of the AT1 receptor was constructed by means of a homology modeling procedure, using the X-ray structure of bovine rhodopsin as the initial template and taking into account the available site-directed mutagenesis data. The docking of losartan and its active metabolite EXP3174, followed by 1 ns of molecular dynamics (MD) simulation inserted into the phospholipid bilayer, suggested a different binding orientation for these antagonists from those previously proposed. Furthermore, the docking of several non-peptide antagonists was used as an alignment tool for the development of a three-dimensional quantitative structure-activity relationship (3D-QSAR) model, and the good results confirmed our binding hypothesis and the reliability of the model.

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Year:  2006        PMID: 16821790     DOI: 10.1021/jm060338p

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


  11 in total

1.  Multiple templates-based homology modeling enhances structure quality of AT1 receptor: validation by molecular dynamics and antagonist docking.

Authors:  Pandian Sokkar; Shylajanaciyar Mohandass; Murugesan Ramachandran
Journal:  J Mol Model       Date:  2010-10-06       Impact factor: 1.810

2.  An efficient synthesis of a rationally designed 1,5 disubstituted imidazole AT(1) angiotensin II receptor antagonist: reorientation of imidazole pharmacophore groups in losartan reserves high receptor affinity and confirms docking studies.

Authors:  George Agelis; Panagiota Roumelioti; Amalia Resvani; Serdar Durdagi; Maria-Eleni Androutsou; Konstantinos Kelaidonis; Demetrios Vlahakos; Thomas Mavromoustakos; John Matsoukas
Journal:  J Comput Aided Mol Des       Date:  2010-07-10       Impact factor: 3.686

Review 3.  On the different experimental manifestations of two-state 'induced-fit' binding of drugs to their cellular targets.

Authors:  Georges Vauquelin; Isabelle Van Liefde; David C Swinney
Journal:  Br J Pharmacol       Date:  2016-03-15       Impact factor: 8.739

4.  Structure-Function Basis of Attenuated Inverse Agonism of Angiotensin II Type 1 Receptor Blockers for Active-State Angiotensin II Type 1 Receptor.

Authors:  Takanobu Takezako; Hamiyet Unal; Sadashiva S Karnik; Koichi Node
Journal:  Mol Pharmacol       Date:  2015-06-29       Impact factor: 4.436

Review 5.  Review: angiotensin II type 1 receptor blockers: class effects versus molecular effects.

Authors:  Shin-ichiro Miura; Sadashiva S Karnik; Keijiro Saku
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2010-07-05       Impact factor: 1.636

6.  A small difference in the molecular structure of angiotensin II receptor blockers induces AT₁ receptor-dependent and -independent beneficial effects.

Authors:  Masahiro Fujino; Shin-ichiro Miura; Yoshihiro Kiya; Yukio Tominaga; Yoshino Matsuo; Sadashiva S Karnik; Keijiro Saku
Journal:  Hypertens Res       Date:  2010-07-29       Impact factor: 3.872

7.  Characterization of the binding of angiotensin II receptor blockers to human serum albumin using docking and molecular dynamics simulation.

Authors:  Jinyu Li; Xiaolei Zhu; Cao Yang; Rongwei Shi
Journal:  J Mol Model       Date:  2009-11-12       Impact factor: 1.810

8.  Design, synthesis, and evaluation of 5-sulfamoyl benzimidazole derivatives as novel angiotensin II receptor antagonists.

Authors:  Navneet Kaur; Amardeep Kaur; Yogita Bansal; Dhvanit I Shah; Gulshan Bansal; Manjeet Singh
Journal:  Bioorg Med Chem       Date:  2008-10-29       Impact factor: 3.641

9.  In silico identification of novel lead compounds with AT1 receptor antagonist activity: successful application of chemical database screening protocol.

Authors:  Mahima Pal; Sarvesh Paliwal
Journal:  Org Med Chem Lett       Date:  2012-03-01

10.  Homology modeling a fast tool for drug discovery: current perspectives.

Authors:  V K Vyas; R D Ukawala; M Ghate; C Chintha
Journal:  Indian J Pharm Sci       Date:  2012-01       Impact factor: 0.975

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