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Open AccessJournal ArticleDOI

Conformation Guides Molecular Efficacy in Docking Screens of Activated β-2 Adrenergic G Protein Coupled Receptor

TLDR
A prospective, large library virtual screen against an activated β2-adrenergic receptor (β2AR) structure returned potent agonists to the exclusion of inverse-agonists, providing the first complement to the previous virtual screening campaigns against inverse-agonist-bound G protein coupled receptor (GPCR) structures.
Abstract
A prospective, large library virtual screen against an activated β2-adrenergic receptor (β2AR) structure returned potent agonists to the exclusion of inverse-agonists, providing the first complement to the previous virtual screening campaigns against inverse-agonist-bound G protein coupled receptor (GPCR) structures, which predicted only inverse-agonists. In addition, two hits recapitulated the signaling profile of the co-crystal ligand with respect to the G protein and arrestin mediated signaling. This functional fidelity has important implications in drug design, as the ability to predict ligands with predefined signaling properties is highly desirable. However, the agonist-bound state provides an uncertain template for modeling the activated conformation of other GPCRs, as a dopamine D2 receptor (DRD2) activated model templated on the activated β2AR structure returned few hits of only marginal potency.

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Journal ArticleDOI

DREADDs for Neuroscientists.

TL;DR: A primer on DREADDs is provided highlighting key technical and conceptual considerations and identify challenges for chemogenetics going forward.
Journal ArticleDOI

GPCR Dynamics: Structures in Motion

TL;DR: What is currently known about the flexibility and dynamics of GPCRs, as determined through crystallography, spectroscopy, and computer simulations is reviewed.
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Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges

TL;DR: State-of-the-art modeling approaches achieved close-to-experimental accuracy for small rigid orthosteric ligands and models built by close homology, and they correctly predicted protein fold for distant homology targets.
Journal ArticleDOI

Ligand Pose and Orientational Sampling in Molecular Docking

TL;DR: In this article, the authors explore sampling techniques that eliminate stochastic behavior in DOCK3.6, allowing a focused effort to optimize the code for efficiency, with a threefold increase in the speed of the program.
References
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Journal ArticleDOI

Comparative Protein Modelling by Satisfaction of Spatial Restraints

TL;DR: A comparative protein modelling method designed to find the most probable structure for a sequence given its alignment with related structures, which is automated and illustrated by the modelling of trypsin from two other serine proteinases.
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ZINC - A Free Database of Commercially Available Compounds for Virtual Screening

TL;DR: This paper has prepared a library of 727,842 molecules, each with 3D structure, using catalogs of compounds from vendors, and hopes that this database will bring virtual screening libraries to a wide community of structural biologists and medicinal chemists.
Journal ArticleDOI

ChEMBL: a large-scale bioactivity database for drug discovery

TL;DR: ChEMBL is an Open Data database containing binding, functional and ADMET information for a large number of drug-like bioactive compounds to maximize their quality and utility across a wide range of chemical biology and drug-discovery research problems.
Journal ArticleDOI

ZINC: A Free Tool to Discover Chemistry for Biology

TL;DR: The database contains over twenty million commercially available molecules in biologically relevant representations that may be downloaded in popular ready-to-dock formats and subsets and is freely available at zinc.docking.org.
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