Evidence map›Paper›PMID 22071255›Full record

ArticleEuropean journal of medicinal chemistry2012

Molecular mechanism of serotonin transporter inhibition elucidated by a new flexible docking protocol.

Mari Gabrielsen, Rafał Kurczab, Aina W Ravna, Irina Kufareva, Ruben Abagyan, Zdzisław Chilmonczyk, Andrzej J Bojarski, Ingebrigt Sylte

Abstract read
In one paragraph

Article in European journal of medicinal chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Identification of novel serotonin transporter compounds by virtual screening.Journal of chemical information and modeling · 2014
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

8 authors.

Mari GabrielsenMedical Pharmacology and Toxicology, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, N-9037 Tromsø, Norway.
Rafał Kurczab
Aina W Ravna
Irina Kufareva
Ruben Abagyan
Zdzisław Chilmonczyk
Andrzej J Bojarski
Ingebrigt Sylte

Funding

Project 3U54GM094618 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STEVENS, RAYMOND C · 2010 to 2014
$17.1M
Structure, Dynamics and Activation Mechanisms of Chemokine ReceptorsU01GM094612 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HANDEL, TRACY M · 2010 to 2014
$4.5M
Macromolecular DockingR01GM071872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2004 to 2017
$4.2M
A Chemical Biology Network for Personalized MedicineRC2LM010994 · NLM · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARDOZO, TIMOTHY J, MA'AYAN, AVI · 2010 to 2010
$2.1M
NIGMS NIH HHS R01 GM071872NIGMS NIH HHS R01GM071872NIGMS NIH HHS U01 GM094612NIGMS NIH HHS U54 GM094618NLM NIH HHS RC2 LM010994
6 · The paper itself

Abstract

The two main groups of antidepressant drugs, the tricyclic antidepressants (TCAs) and the selective serotonin reuptake inhibitors (SSRIs), as well as several other compounds, act by inhibiting the serotonin transporter (SERT). However, the binding mode and molecular mechanism of inhibition in SERT are not fully understood. In this study, five classes of SERT inhibitors were docked into an outward-facing SERT homology model using a new 4D ensemble docking protocol. Unlike other docking protocols, where protein flexibility is not considered or is highly dependent on the ligand structure, flexibility was here obtained by side chain sampling of the amino acids of the binding pocket using biased probability Monte Carlo (BPMC) prior to docking. This resulted in the generation of multiple binding pocket conformations that the ligands were docked into. The docking results showed that the inhibitors were stacked between the aromatic amino acids of the extracellular gate (Y176, F335) presumably preventing its closure. The inhibitors interacted with amino acids in both the putative substrate binding site and more extracellular regions of the protein. A general structure-docking-based pharmacophore model was generated to explain binding of all studied classes of SERT inhibitors. Docking of a test set of actives and decoys furthermore showed that the outward-facing ensemble SERT homology model consistently and selectively scored the majority of active compounds above decoys, which indicates its usefulness in virtual screening.

Indexed as

Models, MolecularBinding SitesDrug Evaluation, PreclinicalLigandsMazindolMonte Carlo MethodProtein ConformationSelective Serotonin Reuptake InhibitorsSequence Homology, Amino AcidSerotonin Plasma Membrane Transport ProteinsTropanesLigandsMazindolSelective Serotonin Reuptake InhibitorsSerotonin Plasma Membrane Transport ProteinsTropanes

Identifiers

PMID22071255
PMCPMC3357065

What OpenQuestion holds

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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.