Evidence map›Paper›PMID 34744752›Full record

ArticleFrontiers in pharmacology2021

Genome Mining-Based Discovery of Blenny Fish-Derived Peptides Targeting the Mouse κ-Opioid Receptor.

Edin Muratspahić, Bernhard Retzl, Leopold Duerrauer, Michael Freissmuth, Christian F W Becker, Christian W Gruber

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 1 country.

Edin MuratspahićCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Vienna, Austria.
Bernhard RetzlCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Vienna, Austria.
Leopold DuerrauerInstitute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Michael FreissmuthCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Vienna, Austria.
Christian F W BeckerInstitute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Christian W GruberCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATUniversity of Vienna · AT

Funding

Austrian Science Fund FWF P 32109
6 · The paper itself

Abstract

Over the past years, peptides have attracted increasing interest for G protein-coupled receptor (GPCR) drug discovery and development. Peptides occupy a unique chemical space that is not easily accessible for small molecules and antibodies and provide advantages over these ligand classes such as lower toxicity and higher selectivity. The κ-opioid receptor (KOR) is a prototypic GPCR and an appealing therapeutic target for the development of safer and more effective analgesics. Recently, peptides have emerged as analgesic drug candidates with improved side effect profiles. We have previously identified plant-derived peptides, which activate KOR. Based on this precedent, here we relied on publicly available databases to discover novel KOR peptide ligands by genome mining. Using human preprodynorphin as a query, we identified blenny fish-derived peptides, referred to as blenniorphins, capable of binding to and activating KOR with nanomolar affinity and potency, respectively. Additionally, the blenniorphins altered β-arrestin-2 recruitment at the KOR. Our study demonstrates the utility of genome mining to identify peptide GPCR ligands with intriguing pharmacological properties and unveils the potential of blenny fishes as a source for novel KOR ligands.

Indexed as

drug discoverygenome miningGPCRopioidpeptide

Identifiers

PMID34744752
PMCPMC8569185
OpenAlexW3209812653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.