Evidence map›Paper›PMID 26507582›Full record

ArticleChemMedChem2015

We Need 2C but Not 2B: Developing Serotonin 2C (5-HT2C) Receptor Agonists for the Treatment of CNS Disorders.

Jianjun Cheng, Alan P Kozikowski

Abstract read
In one paragraph

Article in ChemMedChem, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Serotonin 5-HTACS chemical neuroscience · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Use of Zebrafish Models to Boost Research in Rare Genetic Diseases.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. The serotonergic system and cognitive function.Translational neuroscience · 2016
    Review
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

2 authors.

Jianjun ChengDrug Discovery Program, Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, 833 South Wood Street, Chicago, IL, 60612, USA.
Alan P KozikowskiDrug Discovery Program, Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, 833 South Wood Street, Chicago, IL, 60612, USA. kozikowa@uic.edu.

Funding

Optimizing Lead 5-HT2c Ligands for Use in the Treatment of SchizophreniaR01MH099993 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CALDARONE, BARBARA J., ROTH, BRYAN L. · 2013 to 2016
$2.8M
NIMH NIH HHS R01 MH099993NIMH NIH HHS R01MH99993
6 · The paper itself

Abstract

The serotonin 2C (5-HT2C ) receptor has been identified as a potential drug target for the treatment of a variety of central nervous system (CNS) disorders, such as obesity, substance abuse, and schizophrenia. In this Viewpoint article, recent progress in developing selective 5-HT2C agonists for use in treating these disorders is summarized, including the work of our group. Challenges in this field and the possible future directions are described. Homology modeling as a method to predict the binding modes of 5-HT2C ligands to the receptor is also discussed. Compared to known ligands, the improved pharmacological profiles of the 2-phenylcyclopropylmethylamine-based 5-HT2C agonists make them preferred candidates for further studies.

Indexed as

AminesCentral Nervous System DiseasesHumansReceptor, Serotonin, 5-HT2CSerotonin 5-HT2 Receptor AgonistsSmall Molecule LibrariesStructure-Activity RelationshipAminesReceptor, Serotonin, 5-HT2CSerotonin 5-HT2 Receptor AgonistsSmall Molecule Librariesdrug discoverymedicinal chemistryreceptorsschizophreniaserotonin

Identifiers

PMID26507582
PMCPMC4832415

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.