Evidence map›Paper›PMID 25003748›Full record

ReviewACS chemical neuroscience2014

Discovery of novel-scaffold monoamine transporter ligands via in silico screening with the S1 pocket of the serotonin transporter.

Tammy L Nolan, Laura M Geffert, Benedict J Kolber, Jeffry D Madura, Christopher K Surratt

Abstract readReview
In one paragraph

Review in ACS chemical neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Getting the most out of PubChem for virtual screening.Expert opinion on drug discovery · 2016
    Review
  4. Article
  5. 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

5 authors.

Tammy L NolanDivision of Pharmaceutical Sciences, Mylan School of Pharmacy, ‡Departments of Chemistry and Biochemistry, Center for Computational Sciences, and §Department of Biological Sciences, Duquesne University , 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, United States.
Laura M Geffert
Benedict J Kolber
Jeffry D Madura
Christopher K Surratt

Funding

CRCNS: Computational and experimental study of dopamine and serotonin transporterR01DA027806 · NIDA · DUQUESNE UNIVERSITY · PI MADURA, JEFFRY D. · 2009 to 2013
$1.5M
Dopamine Transporter Structure and FunctionR01DA026530 · NIDA · DUQUESNE UNIVERSITY · PI SURRATT, CHRISTOPHER K · 2009 to 2010
$627k
NIDA NIH HHS DA026530NIDA NIH HHS DA027806
6 · The paper itself

Abstract

Discovery of new inhibitors of the plasmalemmal monoamine transporters (MATs) continues to provide pharmacotherapeutic options for depression, addiction, attention deficit disorders, psychosis, narcolepsy, and Parkinson's disease. The windfall of high-resolution MAT structural information afforded by X-ray crystallography has enabled the construction of credible computational models. Elucidation of lead compounds, creation of compound structure-activity series, and pharmacologic testing are staggering expenses that could be reduced by using a MAT computational model for virtual screening (VS) of structural libraries containing millions of compounds. Here, VS of the PubChem small molecule structural database using the S1 (primary substrate) ligand pocket of a serotonin transporter homology model yielded 19 prominent "hit" compounds. In vitro pharmacology of these VS hits revealed four structurally unique MAT substrate uptake inhibitors with high nanomolar affinity at one or more of the three MATs. In vivo characterization of three of these hits revealed significant activity in a mouse model of acute depression at doses that did not elicit untoward locomotor effects. This constitutes the first report of MAT inhibitor discovery using exclusively the primary substrate pocket as a VS tool. Novel-scaffold MAT inhibitors offer hope of new medications that lack the many classic adverse effects of existing antidepressant drugs.

Indexed as

Computer SimulationModels, MolecularAnimalsAntidepressive AgentsDose-Response Relationship, DrugHumansLigandsMiceNorepinephrine Plasma Membrane Transport ProteinsSerotonin AgentsSerotonin Plasma Membrane Transport ProteinsAntidepressive AgentsLigandsNorepinephrine Plasma Membrane Transport ProteinsSerotonin AgentsSerotonin Plasma Membrane Transport Proteinsantidepressant drugComputational chemistryneurotransmitter transportervirtual screening

Identifiers

PMID25003748
PMCPMC4176318

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.