Evidence map›Paper›PMID 37986777›Full record

ArticlebioRxiv : the preprint server for biology2023

Structural Insights into the Unexpected Agonism of Tetracyclic Antidepressants at Serotonin Receptors 5-HT1eR and 5-HT1FR.

Gregory Zilberg, Alexandra K Parpounas, Audrey L Warren, Bianca Fiorillo, Davide Provasi, Marta Filizola, Daniel Wacker

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gregory ZilbergDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai; New York, New York 10029.ORCID 0000-0002-6575-508X
Alexandra K ParpounasDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai; New York, New York 10029.
Audrey L WarrenDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai; New York, New York 10029.ORCID 0000-0002-1538-8648
Bianca FiorilloDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai; New York, New York 10029.
Davide ProvasiDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai; New York, New York 10029.
Marta FilizolaDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai; New York, New York 10029.
Daniel WackerDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai; New York, New York 10029.ORCID 0000-0003-4951-7230

Funding

NCCAT: National Center for CryoEM Access and Training- Supplement for Windows 10 and FFIU24GM129539 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI DE MARCO, ALEX, KIEFT, JEFFREY S · 2018 to 2023
$53.9M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
Structural Studies and Drug Discovery Illuminate Serotonin PharmacologyR35GM133504 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Daniel Wacker · 2019 to 2026
$3.4M
Training Program in Substance Use DisordersT32DA053558 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Paul J. Kenny · 2021 to 2026
$2.6M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Structural studies of psychedelic activity at the serotonin receptor 5-HT1AF31MH132317 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WARREN, AUDREY LOUISE · 2022 to 2023
$85k
NCATS NIH HHS UL1 TR004419NIDA NIH HHS T32 DA053558NIGMS NIH HHS R35 GM133504NIGMS NIH HHS T32 GM062754NIGMS NIH HHS U24 GM129539NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS F31 MH132317
6 · The paper itself

Abstract

Serotonin (5-hydroxytryptamine, 5-HT) acts via 13 different receptors in humans. Of these receptor subtypes, all but 5-HT

Identifiers

PMID37986777
PMCPMC10659432

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.