Evidence map›Paper›PMID 37128611›Full record

ArticleiScience2023

Gαs slow conformational transition upon GTP binding and a novel Gαs regulator.

Donghoon Ahn, Davide Provasi, Nguyen Minh Duc, Jun Xu, Leslie Salas-Estrada, Aleksandar Spasic, Min Woo Yun, Juyeong Kang, Dongmin Gim, Jaecheol Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Contract to kill: GNAS mutation.Molecular cancer · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. 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

13 authors at 4 institutions in 3 countries.

Donghoon AhnSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Davide ProvasiDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Nguyen Minh DucSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Jun XuMolecular and Cellular Physiology, School of Medicine, Stanford University, Stanford, CA 94305, USA.
Leslie Salas-EstradaDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Aleksandar SpasicDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Min Woo YunSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Juyeong KangSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Dongmin GimSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Jaecheol LeeSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Yang DuSchool of Life and Health Sciences, Kobilka Institute of Innovative Drug Discovery, Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China.
Marta FilizolaDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Ka Young ChungSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Sungkyunkwan University · KRIcahn School of Medicine at Mount Sinai · USChinese University of Hong Kong, Shenzhen · CNStanford University · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Molecular and Dynamic Insights into the Function of GPCRs Involved in Drug AbuseR01DA045473 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2018 to 2022
$2.2M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NCATS NIH HHS UL1 TR004419NIDA NIH HHS R01 DA045473NIH HHS S10 OD026880
6 · The paper itself

Abstract

G proteins are major signaling partners for G protein-coupled receptors (GPCRs). Although stepwise structural changes during GPCR-G protein complex formation and guanosine diphosphate (GDP) release have been reported, no information is available with regard to guanosine triphosphate (GTP) binding. Here, we used a novel Bayesian integrative modeling framework that combines data from hydrogen-deuterium exchange mass spectrometry, tryptophan-induced fluorescence quenching, and metadynamics simulations to derive a kinetic model and atomic-level characterization of stepwise conformational changes incurred by the β

Indexed as

BiochemistryBioinformaticsBiophysicsMolecular biology

Identifiers

PMID37128611
PMCPMC10148139
OpenAlexW4362717634

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.