Evidence map›Paper›PMID 33539706›Full record

ReviewACS chemical biology2021

Identifying Receptors for Neuropeptides and Peptide Hormones: Challenges and Recent Progress.

Md Shadman Ridwan Abid, Somayeh Mousavi, James W Checco

Open access · greenAbstract readReview
In one paragraph

Review in ACS chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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  12. Endogenous l- to d-amino acid residue isomerization modulates selectivity between distinct neuropeptide receptor family members.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Characterization of anFrontiers in pharmacology · 2023
    Article
  14. 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

3 authors at 1 institution in 1 country.

Md Shadman Ridwan AbidDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, United States.
Somayeh MousaviDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, United States.
James W CheccoDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, United States.ORCID 0000-0003-1165-6163
University of Nebraska–Lincoln · US

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI RAZAVI RIZI, MOHAMMAD · 2016 to 2025
$20.8M
NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

Intercellular signaling events mediated by neuropeptides and peptide hormones represent important targets for both basic science and drug discovery. For many bioactive peptides, the protein receptors that transmit information across the receiving cell membrane are not known, severely limiting these signaling pathways as potential therapeutic targets. Identifying the receptor(s) for a given peptide of interest is complicated by several factors. Most notably, cell-cell signaling peptides are generated through dynamic biosynthetic pathways, can act on many different families of receptor proteins, and can participate in complex ligand-receptor interactions that extend beyond a simple one-to-one archetype. Here, we discuss recent methodological advances to identify signaling partners for bioactive peptides. Recent efforts have centered on methods to identify candidate receptors via transcript expression, methods to match peptide-receptor pairs through high throughput screening, and methods to capture direct ligand-receptor interactions using chemical probes. Future applications of the receptor identification approaches discussed here, as well as technical advancements to address their limitations, promise to lead to a greater understanding of how cells communicate to deliver complex physiologies. Importantly, such advancements will likely provide novel targets for the treatment of human diseases within the central nervous and endocrine systems.

Indexed as

AnimalsHumansLigandsMachine LearningMolecular ProbesNeuropeptidesPeptide HormonesReceptors, G-Protein-CoupledReceptors, NeuropeptideLigandsMolecular ProbesNeuropeptidesPeptide HormonesReceptors, G-Protein-CoupledReceptors, Neuropeptide

Identifiers

PMID33539706
PMCPMC8479824
OpenAlexW3126982469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.