ReviewToxins2017
G-Protein Coupled Receptors Targeted by Analgesic Venom Peptides.
Review in Toxins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- A Machine Learning-Enabled Venom Peptide Platform for Rapid Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Review
- A comprehensive overview of fish envenomation and venom toxicity in Brazil.The journal of venomous animals and toxins including tropical diseases · 2025Article
- Historical Perspective of the Characterization of Conotoxins Targeting Voltage-Gated Sodium Channels.Marine drugs · 2023Review
- Article
- Stingray Venom Proteins: Mechanisms of Action Revealed Using a Novel Network Pharmacology Approach.Marine drugs · 2021Article
- Allosteric Modulator Leads Hiding in Plain Site: Developing Peptide and Peptidomimetics as GPCR Allosteric Modulators.Frontiers in chemistry · 2021Review
- Identification of Conomarphin Variants in theMarine drugs · 2020Article
- Targeting Cannabinoid Receptors: Current Status and Prospects of Natural Products.International journal of molecular sciences · 2020Review
- Nature-Derived Peptides: A Growing Niche for GPCR Ligand Discovery.Trends in pharmacological sciences · 2019Review
- Discovery Methodology of Novel Conotoxins fromMarine drugs · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic pain is a complex and debilitating condition associated with a large personal and socioeconomic burden. Current pharmacological approaches to treating chronic pain such as opioids, antidepressants and anticonvulsants exhibit limited efficacy in many patients and are associated with dose-limiting side effects that hinder their clinical use. Therefore, improved strategies for the pharmacological treatment of pathological pain are urgently needed. G-protein coupled receptors (GPCRs) are ubiquitously expressed on the surface of cells and act to transduce extracellular signals and regulate physiological processes. In the context of pain, numerous and diverse families of GPCRs expressed in pain pathways regulate most aspects of physiological and pathological pain and are thus implicated as potential targets for therapy of chronic pain. In the search for novel compounds that produce analgesia via GPCR modulation, animal venoms offer an enormous and virtually untapped source of potent and selective peptide molecules. While many venom peptides target voltage-gated and ligand-gated ion channels to inhibit neuronal excitability and blunt synaptic transmission of pain signals, only a small proportion are known to interact with GPCRs. Of these, only a few have shown analgesic potential in vivo. Here we review the current state of knowledge regarding venom peptides that target GPCRs to produce analgesia, and their development as therapeutic compounds.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.