Protein-based virtual screening of chemical databases. II. Are homology models of g-protein coupled receptors suitable targets?

2002 ◽  
Vol 50 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Caterina Bissantz ◽  
Philippe Bernard ◽  
Marcel Hibert ◽  
Didier Rognan
2021 ◽  
Vol 73 (4) ◽  
pp. 527-565
Author(s):  
Flavio Ballante ◽  
Albert J Kooistra ◽  
Stefanie Kampen ◽  
Chris de Graaf ◽  
Jens Carlsson

MedChemComm ◽  
2015 ◽  
Vol 6 (6) ◽  
pp. 1003-1017 ◽  
Author(s):  
Enade P. Istyastono ◽  
Albert J. Kooistra ◽  
Henry F. Vischer ◽  
Martien Kuijer ◽  
Luc Roumen ◽  
...  

Structure-based virtual screening using H1R- and β2R-based histamine H4R homology models identified 9 fragments with an affinity ranging from 0.14 to 6.3 μm for H4R.


2018 ◽  
Author(s):  
Ashley R. Vidad ◽  
Stephen Macaspac ◽  
Ho-Leung Ng

AbstractG-protein coupled receptors (GPCRs) are the largest protein family of drug targets. Detailed mechanisms of binding are unknown for many important GPCR-ligand pairs due to the difficulties of GPCR recombinant expression, biochemistry, and crystallography. We describe our new method, ConDock, for predicting ligand binding sites in GPCRs using combined information from surface conservation and docking starting from crystal structures or homology models. We demonstrate the effectiveness of ConDock on well-characterized GPCRs such as the β2 adrenergic and A2A adenosine receptors. We also demonstrate that ConDock successfully predicts ligand binding sites from high-quality homology models. Finally, we apply ConDock to predict ligand binding sites on a structurally uncharacterized GPCR, GPER. GPER is the G-protein coupled estrogen receptor, with four known ligands: estradiol, G1, G15, and tamoxifen. ConDock predicts that all four ligands bind to the same location on GPER, centered on L119, H307, and N310; this site is deeper in the receptor cleft than predicted by previous studies. We compare the sites predicted by ConDock and traditional methods that utilize information from surface geometry, surface conservation, and ligand chemical interactions. Incorporating sequence conservation information in ConDock overcomes errors introduced from physics-based scoring functions and homology modeling.


2011 ◽  
Vol 29 (5) ◽  
pp. 614-623 ◽  
Author(s):  
Santiago Vilar ◽  
Giulio Ferino ◽  
Sharangdhar S. Phatak ◽  
Barkin Berk ◽  
Claudio N. Cavasotto ◽  
...  

2013 ◽  
Vol 81 (5) ◽  
pp. 729-739 ◽  
Author(s):  
Supriyo Bhattacharya ◽  
Alfonso Ramon Lam ◽  
Hubert Li ◽  
Gouthaman Balaraman ◽  
Michiel Jacobus Maria Niesen ◽  
...  

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