Evidence map›Paper›PMID 29045379›Full record

ArticleNature chemical biology2017

Discovery of new GPCR ligands to illuminate new biology.

Bryan L Roth, John J Irwin, Brian K Shoichet

Abstract read
In one paragraph

Article in Nature chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bryan L RothDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
John J IrwinDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.

Funding

Illuminating the Druggable GPCR-omeU24DK116195 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROTH, BRYAN L., SHOICHET, BRIAN K · 2017 to 2022
$14.3M
Development and Testing of New Computational Methods for Ligand Discovery and MechanismR35GM122481 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian K Shoichet · 2017 to 2026
$8.5M
Scalable technologies for illuminating the druggable GPCR-omeU01MH104974 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROTH, BRYAN L., SHOICHET, BRIAN K · 2014 to 2016
$1.4M
NIDDK NIH HHS U24 DK116195NIGMS NIH HHS R35 GM122481NIMH NIH HHS U01 MH104974
6 · The paper itself

Abstract

Although a plurality of drugs target G-protein-coupled receptors (GPCRs), most have emerged from classical medicinal chemistry and pharmacology programs and resemble one another structurally and functionally. Though effective, these drugs are often promiscuous. With the realization that GPCRs signal via multiple pathways, and with the emergence of crystal structures for this family of proteins, there is an opportunity to target GPCRs with new chemotypes and confer new signaling modalities. We consider structure-based and physical screening methods that have led to the discovery of new reagents, focusing particularly on the former. We illustrate their use against previously untargeted or orphan GPCRs, against allosteric sites, and against classical orthosteric sites that selectively activate one downstream pathway over others. The ligands that emerge are often chemically novel, which can lead to new biological effects.

Indexed as

Drug DesignLigandsMolecular Docking SimulationSignal TransductionAllosteric RegulationAllosteric SiteDrug DiscoveryHumansReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID29045379
PMCPMC5835362

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.