Evidence map›Paper›PMID 30814658›Full record

ArticleActa pharmacologica Sinica2019

Structural insight into the serotonin (5-HT) receptor family by molecular docking, molecular dynamics simulation and systems pharmacology analysis.

Yuan-Qiang Wang, Wei-Wei Lin, Nan Wu, Si-Yi Wang, Mao-Zi Chen, Zhi-Hua Lin, Xiang-Qun Xie, Zhi-Wei Feng

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

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  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. "Selective" serotonin 5-HTBiochemical pharmacology · 2022
    Review
  13. Review
  14. The 5-HT and PLC Signaling Pathways Regulate the Secretion of IL-1Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. 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

8 authors at 3 institutions in 2 countries.

Yuan-Qiang Wang *School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
Wei-Wei Lin *Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Nan Wu *Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Si-Yi WangDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Mao-Zi ChenDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Zhi-Hua LinSchool of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
Xiang-Qun XieDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA. xix15@pitt.edu.
Zhi-Wei FengDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA. zhf11@pitt.edu.
University of Pittsburgh · USNational Institute on Drug Abuse · USChongqing University of Technology · CN

Funding

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
Structure/Function of the CB2 Receptor Binding and G-protein Recognition PocketsR01DA025612 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIE, XIANG-QUN · 2010 to 2014
$1.7M
NIDA NIH HHS P30 DA035778NIDA NIH HHS R01 DA025612
6 · The paper itself

Abstract

Serotonin (5-HT) receptors are proteins involved in various neurological and biological processes, such as aggression, anxiety, appetite, cognition, learning, memory, mood, sleep, and thermoregulation. They are commonly associated with drug abuse and addiction due to their importance as targets for various pharmaceutical and recreational drugs. However, due to a high sequence similarity/identity among 5-HT receptors and the unavailability of the 3D structure of the different 5-HT receptor, no report was available so far regarding the systematical comparison of the key and selective residues involved in the binding pocket, making it difficult to design subtype-selective serotonergic drugs. In this work, we first built and validated three-dimensional models for all 5-HT receptors based on the existing crystal structures of 5-HT

Indexed as

Binding SitesHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationPharmacologyReceptors, SerotoninSerotonin AntagonistsSerotonin Receptor AgonistsLigandsReceptors, SerotoninSerotonin AntagonistsSerotonin Receptor Agonists5-HT receptorCaptagondrug abuse and addictiondrug selectivitymolecular dockingmolecular dynamics simulationoff-target predictionsystems pharmacology analysis

Identifiers

PMID30814658
PMCPMC6786385
OpenAlexW2916983011

What OpenQuestion holds

Textmetadata
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.