Pathway and mechanism of drug binding to G-protein-coupled receptors
By Ron O. Dror, Albert C. Pan, Daniel H Arlow, David W. Borhani, Paul Maragakis, Yibing Shan, Huafeng Xu, David E. Shaw. 2011
717 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- David E. Gloriam
- Christian Munk
- Vignir Ísberg
- Alexander Sebastian Hauser
- Ye Fang
- Albert J. Kooistra
- Gáspár Pándy-Szekeres
- Alibek Mamyrbekov
In Molecular Biology
- Debora Marks
- Frank No'e
- Christopher Sander
- Lucy J. Colwell
- Thomas A. Hopf
- David T. Jones
- Vijay S. Pande
- David E. Gloriam
Citations in the corpus
- Protein 3D Structure Computed from Evolutionary Sequence Variation (2011, neutral): “such as BPTI and WW domains [29,30].”
- 3D structures of membrane proteins from genomic sequencing (2012, neutral): “To improve the quality of the predicted contacts and resulting atomic structures, four areas of focus hold particular promise: (1) improved information handling in sequence space, such as improvements in weighting schemes for sequences, evaluation of alignment diversity, inclusion of higher-order te”
- Cloud-based simulations on Google Exacycle reveal ligand-modulation of GPCR activation pathways (2013, background): “The gaps on either side of this bridge have been shown to permit the ligand carazolol to enter the binding pocket, and exhibits rates of 109 s-1 and 108 s-1 for bond formation and breakage, respectively(27).”
- Ligand–receptor interaction platforms and their applications for drug discovery (2012, background): “GPCRs are known to adopt multiple conformations, some of which are dominant for the binding of distinct classes of ligands [14,15].”
- Multiensemble Markov models of molecular thermodynamics and kinetics (2016, background): “The TRAM likelihood combines the MSM likelihood [ 6 ] and local equilibrium likelihood [8].”
- Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview (2018, methodology): “Moreover, with unbiased simulations in the order of ten microseconds, Shaw’s group could simulate the complete binding process of beta blockers and agonists to the β 2 -adrenergic receptor (Dror et al., 2011) and kinase inhibitors to Src kinase (Shan et al., 2011).”
- The future of molecular dynamics simulations in drug discovery (2011, background): “The unbiased binding of kinase inhibitors [41] and G protein–coupled receptor (GPCR) agonists [42] and antagonists [43] has also been demonstrated.”