Characterizing clinically relevant natural variants of GPCRs using computational approaches.

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Methods in Cell Biology

• Publication date

  Unknown publication date

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1016/bs.mcb.2017.07.013PMID 28964336
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• GPCR Dynamics: Structures in Motion.

  2017cited by this paper
• What can simulations tell us about GPCRs: Integrating the scales.

  2016cited by this paper
• Predicting binding free energies: Frontiers and benchmarks

  2016cited by this paper
• Supporting Information The Molecular Mechanism of P 2 Y 1 Receptor Activation

  2016cited by this paper
• A comprehensive map of molecular drug targets

  2016cited by this paper
• Rare inherited skin diseases and the Genomics England 100 000 Genome Project

  2016cited by this paper
• Structural insights and functional implications of inter-individual variability in β2-adrenergic receptor

  2016cited by this paper
• Methodological advances: the unsung heroes of the GPCR structural revolution

  2015cited by this paper
• Giant study poses DNA data-sharing dilemma

  2015cited by this paper
• Structural insights into μ-opioid receptor activation

  2015cited by this paper
• Allosteric ligands for the pharmacologically dark receptors GPR68 and GPR65

  2015cited by this paper
• UK gears up to decode 100,000 genomes from NHS patients.

  2015cited by this paper
• PON-P2: Prediction Method for Fast and Reliable Identification of Harmful Variants

  2015cited by this paper
• The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities

  2015cited by this paper
• Seven-transmembrane receptors

  2015cited by this paper
• New paradigms in GPCR drug discovery.

  2015cited by this paper
• Differential dynamics of the serotonin1A receptor in membrane bilayers of varying cholesterol content revealed by all atom molecular dynamics simulation

  2015cited by this paper
• PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

  2014cited by this paper
• Molecular Insights into the Dynamics of Pharmacogenetically Important N-Terminal Variants of the Human β2-Adrenergic Receptor

  2014cited by this paper
• SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information

  2014cited by this paper
• Emerging structural insights into biased GPCR signaling.

  2014cited by this paper
• A general framework for estimating the relative pathogenicity of human genetic variants

  2014cited by this paper
• Activation of G-protein-coupled receptors correlates with the formation of a continuous internal water pathway

  2014cited by this paper
• Advances in GPCR modeling evaluated by the GPCR Dock 2013 assessment: meeting new challenges.

  2014cited by this paper
• Differences in allosteric communication pipelines in the inactive and active states of a GPCR.

  2014cited by this paper
• Ligand-dependent activation and deactivation of the human adenosine A(2A) receptor.

  2013cited by this paper
• Cloud-based simulations on Google Exacycle reveal ligand-modulation of GPCR activation pathways

  2013cited by this paper
• Molecular signatures of G-protein-coupled receptors

  2013cited by this paper
• Collective judgment predicts disease-associated single nucleotide variants

  2013cited by this paper
• Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2

  2013cited by this paper
• The dynamic process of β(2)-adrenergic receptor activation.

  2013cited by this paper
• A Membrane-proximal, C-terminal α-Helix Is Required for Plasma Membrane Localization and Function of the G Protein-coupled Receptor (GPCR) TGR5*

  2013cited by this paper
• Insights into the activation mechanism of the visual receptor rhodopsin.

  2012cited by this paper
• An integrated map of genetic variation from 1,092 human genomes

  2012cited by this paper
• Current Assessment of Docking into GPCR Crystal Structures and Homology Models: Successes, Challenges, and Guidelines

  2012cited by this paper
• Action of Molecular Switches in GPCRs - Theoretical and Experimental Studies

  2012cited by this paper
• Biomolecular simulation: a computational microscope for molecular biology.

  2012cited by this paper
• A Polymorphism-Specific “Memory” Mechanism in the β2-Adrenergic Receptor

  2011cited by this paper
• Pathway and mechanism of drug binding to G-protein-coupled receptors

  2011cited by this paper
• Computer-aided drug design platform using PyMOL

  2011cited by this paper
• Activation mechanism of the β2-adrenergic receptor

  2011cited by this paper
• The structure of active opsin as a basis for identification of GPCR agonists by dynamic homology modelling and virtual screening assays

  2011cited by this paper
• Molecular Basis of Ligand Dissociation in β-Adrenergic Receptors

  2011cited by this paper
• Crystal Structure of the β2Adrenergic Receptor-Gs protein complex

  2011cited by this paper
• Importance of the extracellular loops in G protein-coupled receptors for ligand recognition and receptor activation.

  2011cited by this paper
• Mapping the Druggable Allosteric Space of G-Protein Coupled Receptors: a Fragment-Based Molecular Dynamics Approach

  2010cited by this paper
• Homology modeling of G-protein-coupled receptors with X-ray structures on the rise.

  2010cited by this paper
• Very important pharmacogene summary ADRB2

  2010cited by this paper
• Lessons from Free Energy Simulations of δ-Opioid Receptor Homodimers Involving the Fourth Transmembrane Helix

  2010cited by this paper
• Ligand and structure‐based models for the prediction of ligand‐receptor affinities and virtual screenings: Development and application to the β2‐adrenergic receptor

  2009cited by this paper
• The structure and function of G-protein-coupled receptors

  2009cited by this paper
• Ligand entry and exit pathways in the beta2-adrenergic receptor.

  2009cited by this paper
• Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective

  2009cited by this paper
• Crystal structure of the human β2 adrenergic G-protein-coupled receptor

  2007cited by this paper
• Impact of GPCRs in clinical medicine: monogenic diseases, genetic variants and drug targets.

  2007cited by this paper
• G protein coupled receptor structure and activation.

  2007cited by this paper
• GPCR Engineering Yields High-Resolution Structural Insights into β2-Adrenergic Receptor Function

  2007cited by this paper
• High-Resolution Crystal Structure of an Engineered Human β2-Adrenergic G Protein–Coupled Receptor

  2007cited by this paper
• Comparative Protein Structure Modeling Using MODELLER

  2007cited by this paper
• Location of Trp265 in metarhodopsin II: implications for the activation mechanism of the visual receptor rhodopsin.

  2006cited by this paper
• Docking and scoring in virtual screening for drug discovery: methods and applications

  2004cited by this paper
• SIFT: predicting amino acid changes that affect protein function

  2003cited by this paper
• The G-protein-coupled receptors in the human genome form five main families. Phylogenetic analysis, paralogon groups, and fingerprints.

  2003cited by this paper
• Genetic variations and polymorphisms of G protein-coupled receptors: functional and therapeutic implications.

  2001cited by this paper
• dbSNP: the NCBI database of genetic variation

  2001cited by this paper
• Molecular tinkering of G protein‐coupled receptors: an evolutionary success

  1999cited by this paper
• A polymorphism of the human beta 2-adrenergic receptor within the fourth transmembrane domain alters ligand binding and functional properties of the receptor.

  1993cited by this paper
• cDNA for the human beta 2-adrenergic receptor: a protein with multiple membrane-spanning domains and encoded by a gene whose chromosomal location is shared with that of the receptor for platelet-derived growth factor.

  1987cited by this paper

• Investigation the role of ADRB2 rs1042713 and rs1042714 polymorphisms among COPD patients of West Bengal population, India

  2025cites this paper
• Molecular determinants of GPCR pharmacogenetics: Deconstructing the population variants in β2-adrenergic receptor.

  2022cites this paper
• Loss of a water-mediated network results in reduced agonist affinity in a β2-adrenergic receptor clinical variant.

  2021cites this paper
• The role of ADRB2 gene polymorphisms in malignancies

  2021cites this paper
• How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs

  2020cites this paper
• Differential Dynamics Underlying the Gln27Glu Population Variant of the β2-Adrenergic Receptor

  2019cites this paper
• Structural bioinformatics analysis of variants on GPCR function.

  2019cites this paper
• Automated discovery of GPCR bioactive ligands.

  2018cites this paper
• Machine learning-assisted discovery of GPCR bioactive ligands

  2018cites this paper