Evidence map›Paper›PMID 33347886›Full record

ArticleBiophysical journal2021

Allosteric Pathways Originating at Cysteine Residues in Regulators of G-Protein Signaling Proteins.

Yong Liu, Harish Vashisth

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

2 authors at 1 institution in 1 country.

Yong LiuDepartment of Chemical Engineering, University of New Hampshire, Durham, New Hampshire.
Harish VashisthDepartment of Chemical Engineering, University of New Hampshire, Durham, New Hampshire. Electronic address: harish.vashisth@unh.edu.
University of New Hampshire · US

Funding

TLR-TRIF mediated induction of GLI3 modulates innate inflammatory responsesP20GM113131 · NIGMS · UNIVERSITY OF NEW HAMPSHIRE · PI DON Michael WOJCHOWSKI · 2017 to 2026
$22.8M
Peptides and Small-molecules Targeting Signaling Proteins and Protein-Protein InterfacesR35GM138217 · NIGMS · UNIVERSITY OF NEW HAMPSHIRE · PI Harish Vashisth · 2020 to 2026
$2.9M
NIGMS NIH HHS P20 GM113131NIGMS NIH HHS R35 GM138217
6 · The paper itself

Abstract

Regulators of G-protein signaling (RGS) proteins play a central role in modulating signaling via G-protein coupled receptors (GPCRs). Specifically, RGS proteins bind to activated Gα subunits in G-proteins, accelerate the GTP hydrolysis, and thereby rapidly dampen GPCR signaling. Therefore, covalent molecules targeting conserved cysteine residues among RGS proteins have emerged as potential candidates to inhibit the RGS/Gα protein-protein interaction and enhance GPCR signaling. Although these inhibitors bind to conserved cysteine residues among RGS proteins, we have previously suggested [J. Am. Chem. Soc. 2018;140:3454-3460] that their potencies and specificities are related to differential protein dynamics among RGS proteins. Using data from all-atom molecular dynamics simulations, we reveal these differences in dynamics of RGS proteins by partitioning the protein structural space into a network of communities that allow allosteric signals to propagate along unique pathways originating at inhibitor binding sites and terminating at the RGS/Gα protein-protein interface.

Indexed as

RGS ProteinsCysteineGTP-Binding ProteinsReceptors, G-Protein-CoupledSignal TransductionCysteineGTP-Binding ProteinsReceptors, G-Protein-CoupledRGS Proteins

Identifiers

PMID33347886
PMCPMC7895990
OpenAlexW3113641069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.