Evidence map›Paper›PMID 33842547›Full record

ArticleFrontiers in molecular biosciences2021

Molecular Basis of Class B GPCR Selectivity for the Neuropeptides PACAP and VIP.

Chenyi Liao, Jacob M Remington, Victor May, Jianing Li

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. GPCRLigNet: rapid screening for GPCR active ligands using machine learning.Journal of computer-aided molecular design · 2023
    Article
  7. Article
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  12. Review
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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

4 authors.

Chenyi LiaoDepartment of Chemistry, University of Vermont, Burlington, VT, United States.
Jacob M RemingtonDepartment of Chemistry, University of Vermont, Burlington, VT, United States.
Victor MayDepartment of Neuroscience, University of Vermont, Burlington, VT, United States.
Jianing LiDepartment of Chemistry, University of Vermont, Burlington, VT, United States.

Funding

Structure, Mechanism, and Regulation of PACAP/VIP GPCR SubtypesR01GM129431 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI LI, JIANING · 2018 to 2022
$1.7M
NIGMS NIH HHS R01 GM129431
6 · The paper itself

Abstract

The related neuropeptides PACAP and VIP, and their shared PAC1, VPAC1 and VPAC2 receptors, regulate a large array of physiological activities in the central and peripheral nervous systems. However, the lack of comparative and molecular mechanistic investigations hinder further understanding of their preferred binding selectivity and function. PACAP and VIP have comparable affinity at the VPAC1 and VPAC2 receptor, but PACAP is 400-1,000 fold more potent than VIP at the PAC1 receptor. A molecular understanding of the differing neuropeptide-receptor interactions and the details underlying the receptor transitions leading to receptor activation are much needed for the rational design of selective ligands. To these ends, we have combined structural information and advanced simulation techniques to study PACAP/VIP binding selectivity, full-length receptor conformation ensembles and transitions of the PACAP/VIP receptor variants and subtypes, and a few key interactions in the orthosteric-binding pocket. Our results reveal differential peptide-receptor interactions (at the atomistic detail) important for PAC1, VPAC1 and VPAC2 receptor ligand selectivity. Using microsecond-long molecular dynamics simulations and the Markov State Models, we have also identified diverse receptor conformational ensembles and microstate transition paths for each receptor, the potential mechanisms underlying receptor open and closed states, and the interactions and dynamics at the transmembrane orthosteric pocket for receptor activation. These analyses reveal important features in class B GPCR structure-dynamics-function relationships, which provide novel insights for structure-based drug discovery.

Indexed as

conformational transitionG protein-coupled receptorligand selectivitymembrane proteinmolecular dynamicssignaling

Identifiers

PMID33842547
PMCPMC8027070

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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.