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Pharmacogenomics of GPCR Drug Targets

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TLDR
Analysis of UK National Health Service drug prescription and sales data suggests that characterizing GPCR variants could increase prescription precision, improving patients’ quality of life, and relieve the economic and societal burden due to variable drug responsiveness.
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This article is published in Cell.The article was published on 2018-01-11 and is currently open access. It has received 412 citations till now. The article focuses on the topics: Pharmacogenomics & Population.

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Mechanisms of signalling and biased agonism in G protein-coupled receptors

TL;DR: Increasing molecular and structural understanding of biased agonism offers the possibility of designing improved GPCR-targeting drugs, and refined classification of drugs according to their pharmacodynamic profiles, which can be linked to receptor structure and predictions of preclinical drug efficacy.
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GPCRdb in 2018: adding GPCR structure models and ligands.

TL;DR: GPCRome-wide homology models of unprecedented quality are reported, and roughly 150 000 GPCR ligands with data on biological activities and commercial availability are provided, to enable scientific investigation for the wider G PCR community.
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Illuminating G-Protein-Coupling Selectivity of GPCRs.

TL;DR: This work systematically quantified ligand-induced interactions between 148 GPCRs and all 11 unique Gα subunit C termini, and identified sequence-based coupling specificity features, inside and outside the transmembrane domain, which were used to develop a coupling predictor that outperforms previous methods.
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Common activation mechanism of class A GPCRs.

TL;DR: By analyzing the conformational changes in 234 structures from 45 class A GPCRs, this work discovered a common GPCR activation pathway comprising of 34 residue pairs and 35 residues, which unifies previous findings into a common activation mechanism and strings together the scattered key motifs.
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GPCRdb in 2021: integrating GPCR sequence, structure and function.

TL;DR: New and updated GPCRdb resources with a particular focus on integration of sequence, structure and function are described, including a new sequence signature tool for identification of functional residue determinants has been added and two data driven tools to design ligand site mutations and constructs for structure determination have been updated.
References
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Journal ArticleDOI

A global reference for human genetic variation.

Adam Auton, +517 more
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TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
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Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek, +106 more
- 18 Aug 2016 - 
TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.
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SIFT: predicting amino acid changes that affect protein function

TL;DR: SIFT is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study and can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms.
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Predicting Functional Effect of Human Missense Mutations Using PolyPhen-2

TL;DR: PolyPhen‐2 (Polymorphism Phenotyping v2), available as software and via a Web server, predicts the possible impact of amino acid substitutions on the stability and function of human proteins using structural and comparative evolutionary considerations.
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