ArticleBiophysical journal2004
First principles predictions of the structure and function of g-protein-coupled receptors: validation for bovine rhodopsin.
Article in Biophysical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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37 citing papers in PubMed, 103 citations in OpenAlex.
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- G-protein coupled receptors: advances in simulation and drug discovery.Current opinion in structural biology · 2016Review
- What can we learn from molecular dynamics simulations for GPCR drug design?Computational and structural biotechnology journal · 2015Article
- Preferential binding of an odor within olfactory receptors: a precursor to receptor activation.Chemical senses · 2014Article
- Critical analysis of the successes and failures of homology models of G protein-coupled receptors.Proteins · 2013Article
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- Replica exchange Monte-Carlo simulations of helix bundle membrane proteins: rotational parameters of helices.Journal of computer-aided molecular design · 2012Article
- Bihelix: Towards de novo structure prediction of an ensemble of G-protein coupled receptor conformations.Proteins · 2012Article
- Sanjeevini: a freely accessible web-server for target directed lead molecule discovery.BMC bioinformatics · 2012Article
- Identification of anti-malarial compounds as novel antagonists to chemokine receptor CXCR4 in pancreatic cancer cells.PloS one · 2012Article
- Ligand supported homology modeling and docking evaluation of CCR2: docked pose selection by consensus scoring.Journal of molecular modeling · 2011Article
- Predicted structures and dynamics for agonists and antagonists bound to serotonin 5-HT2B and 5-HT2C receptors.Journal of chemical information and modeling · 2011Article
- Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical membrane proteins.BMC bioinformatics · 2010Article
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- Allosteric antagonist binding sites in class B GPCRs: corticotropin receptor 1.Journal of computer-aided molecular design · 2010Article
- Hydrophobicity profiles in G protein-coupled receptor transmembrane helical domains.Journal of receptor, ligand and channel research · 2010Article
- A new challenge-development of test systems for the infochemical effect.Environmental science and pollution research international · 2009Review
- Computational Biology of Olfactory Receptors.Current bioinformatics · 2009Article
- Flat-Bottom Strategy for Improved Accuracy in Protein Side-Chain Placements.Journal of chemical theory and computation · 2008Article
- Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.British journal of pharmacology · 2008Review
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6 authors at 1 institution in 1 country.
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Abstract
G-protein-coupled receptors (GPCRs) are involved in cell communication processes and with mediating such senses as vision, smell, taste, and pain. They constitute a prominent superfamily of drug targets, but an atomic-level structure is available for only one GPCR, bovine rhodopsin, making it difficult to use structure-based methods to design receptor-specific drugs. We have developed the MembStruk first principles computational method for predicting the three-dimensional structure of GPCRs. In this article we validate the MembStruk procedure by comparing its predictions with the high-resolution crystal structure of bovine rhodopsin. The crystal structure of bovine rhodopsin has the second extracellular (EC-II) loop closed over the transmembrane regions by making a disulfide linkage between Cys-110 and Cys-187, but we speculate that opening this loop may play a role in the activation process of the receptor through the cysteine linkage with helix 3. Consequently we predicted two structures for bovine rhodopsin from the primary sequence (with no input from the crystal structure)-one with the EC-II loop closed as in the crystal structure, and the other with the EC-II loop open. The MembStruk-predicted structure of bovine rhodopsin with the closed EC-II loop deviates from the crystal by 2.84 A coordinate root mean-square (CRMS) in the transmembrane region main-chain atoms. The predicted three-dimensional structures for other GPCRs can be validated only by predicting binding sites and energies for various ligands. For such predictions we developed the HierDock first principles computational method. We validate HierDock by predicting the binding site of 11-cis-retinal in the crystal structure of bovine rhodopsin. Scanning the whole protein without using any prior knowledge of the binding site, we find that the best scoring conformation in rhodopsin is 1.1 A CRMS from the crystal structure for the ligand atoms. This predicted conformation has the carbonyl O only 2.82 A from the N of Lys-296. Making this Schiff base bond and minimizing leads to a final conformation only 0.62 A CRMS from the crystal structure. We also used HierDock to predict the binding site of 11-cis-retinal in the MembStruk-predicted structure of bovine rhodopsin (closed loop). Scanning the whole protein structure leads to a structure in which the carbonyl O is only 2.85 A from the N of Lys-296. Making this Schiff base bond and minimizing leads to a final conformation only 2.92 A CRMS from the crystal structure. The good agreement of the ab initio-predicted protein structures and ligand binding site with experiment validates the use of the MembStruk and HierDock first principles' methods. Since these methods are generic and applicable to any GPCR, they should be useful in predicting the structures of other GPCRs and the binding site of ligands to these proteins.
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