Evidence map›Paper›PMID 26441663›Full record

ReviewFrontiers in pharmacology2015

Insights to ligand binding to the monoamine transporters-from homology modeling to LeuBAT and dDAT.

Heidi Koldsø, Julie Grouleff, Birgit Schiøtt

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Molecular and cellular physiology of organic cation transporter 2.American journal of physiology. Renal physiology · 2019
    Review
  2. Review
  3. Article
  4. Article
  5. Overview of Monoamine Transporters.Current protocols in pharmacology · 2017
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 2 institutions in 2 countries.

Heidi KoldsøDepartment of Biochemistry, University of Oxford , Oxford, UK ; inSPIN and iNANO Centers, Department of Chemistry, Aarhus University , Aarhus C, Denmark.
Julie GrouleffinSPIN and iNANO Centers, Department of Chemistry, Aarhus University , Aarhus C, Denmark.
Birgit SchiøttinSPIN and iNANO Centers, Department of Chemistry, Aarhus University , Aarhus C, Denmark.
Aarhus University · DKUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding of drug binding to the human biogenic amine transporters (BATs) is essential to explain the mechanism of action of these pharmaceuticals but more importantly to be able to develop new and improved compounds to be used in the treatment of depression or drug addiction. Until recently no high resolution structure was available of the BATs and homology modeling was a necessity. Various studies have revealed experimentally validated binding modes of numerous ligands to the BATs using homology modeling. Here we examine and discuss the similarities between the binding models of substrates, antidepressants, psychostimulants, and mazindol in homology models of the human BATs and the recently published crystal structures of the Drosophila dopamine transporter and the engineered protein, LeuBAT. The comparison reveals that careful computational modeling combined with experimental data can be utilized to predict binding of molecules to proteins that agree very well with crystal structures.

Indexed as

antidepressantdopamine transporterLeuBATleucine transportersnorepinephrine transporterpsychostimulantsserotonin transporter

Identifiers

PMID26441663
PMCPMC4585151
OpenAlexW2109561994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.