Evidence map›Paper›PMID 37847527›Full record

ArticleJournal of chemical information and modeling2023

Structure-Based Discovery of Mouse Trace Amine-Associated Receptor 5 Antagonists.

Alessandro Nicoli, Verena Weber, Carlotta Bon, Alexandra Steuer, Stefano Gustincich, Raul R Gainetdinov, Roman Lang, Stefano Espinoza, Antonella Di Pizio

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 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
0.9field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. G Protein-Coupled Receptor-Ligand Pose and Functional Class Prediction.International journal of molecular sciences · 2024
    Article
  5. Review
  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

9 authors at 5 institutions in 3 countries.

Alessandro NicoliLeibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0001-6177-9749
Verena WeberLeibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.
Carlotta BonIstituto Italiano di Tecnologia, 16163 Genova, Italy.
Alexandra SteuerLeibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.
Stefano GustincichIstituto Italiano di Tecnologia, 16163 Genova, Italy.
Raul R GainetdinovInstitute of Translational Biomedicine and Saint Petersburg University Hospital, Saint Petersburg State University, Saint Petersburg 199034, Russia.
Roman LangLeibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0003-0610-7186
Stefano EspinozaIstituto Italiano di Tecnologia, 16163 Genova, Italy.
Antonella Di PizioLeibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-8520-5165
Leibniz-Institute for Food Systems Biology at the Technical University of Munich · DEItalian Institute of Technology · ITForschungszentrum Jülich · DESt Petersburg University · RUUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trace amine-associated receptors (TAARs) were discovered in 2001 as new members of class A G protein-coupled receptors (GPCRs). With the only exception of TAAR1, TAAR members (TAAR2-9, also known as noncanonical olfactory receptors) were originally described exclusively in the olfactory epithelium and believed to mediate the innate perception of volatile amines. However, most noncanonical olfactory receptors are still orphan receptors. Given its recently discovered nonolfactory expression and therapeutic potential, TAAR5 has been the focus of deorphanization campaigns that led to the discovery of a few druglike antagonists. Here, we report four novel TAAR5 antagonists identified through high-throughput screening, which, along with the four ligands published in the literature, constituted our starting point to design a computational strategy for the identification of TAAR5 ligands. We developed a structure-based virtual screening protocol that allowed us to identify three new TAAR5 antagonists with a hit rate of 10%. Despite lacking an experimental structure, we accurately modeled the TAAR5 binding site by integrating comparative sequence- and structure-based analyses of serotonin receptors with homology modeling and side-chain optimization. In summary, we have identified seven new TAAR5 antagonists that could serve as lead candidates for the development of new treatments for depression, anxiety, and neurodegenerative diseases.

Indexed as

Receptors, OdorantAminesAnimalsBinding SitesLigandsMiceReceptors, G-Protein-CoupledAminesLigandsReceptors, G-Protein-CoupledReceptors, Odorant

Identifiers

PMID37847527
PMCPMC10647090
OpenAlexW4387691908

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.