Evidence map›Paper›PMID 29232131›Full record

ArticleThe journal of physical chemistry. B2018

Quantitative Assessment of the Energetics of Dopamine Translocation by Human Dopamine Transporter.

Mary Hongying Cheng, Cihan Kaya, Ivet Bahar

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Translating the atypical dopamine uptake inhibitor hypothesis toward therapeutics for treatment of psychostimulant use disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
    Article
  19. Review
  20. Structure and Gating Dynamics of NaFrontiers in molecular biosciences · 2019
    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.

Mary Hongying ChengDepartment of Computational and Systems Biology, School of Medicine , University of Pittsburgh , Pittsburgh , Pennsylvania 15260 , United States.
Cihan KayaDepartment of Computational and Systems Biology, School of Medicine , University of Pittsburgh , Pittsburgh , Pennsylvania 15260 , United States.
Ivet BaharDepartment of Computational and Systems Biology, School of Medicine , University of Pittsburgh , Pittsburgh , Pennsylvania 15260 , United States.ORCID 0000-0001-9959-4176

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AYOOB, JOSEPH C · 2012 to 2021
$16.3M
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
Continued Development of Protein Dynamics Software ProDyR01GM099738 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2012 to 2015
$1.1M
NIDA NIH HHS P30 DA035778NIGMS NIH HHS P41 GM103712NIGMS NIH HHS R01 GM099738
6 · The paper itself

Abstract

Computational evaluation of the energetics of substrate binding, transport, and release events of neurotransmitter transporters at the molecular level is a challenge, as the structural transitions of these membrane proteins involve coupled global and local changes that span time scales of several orders of magnitude, from nanoseconds to seconds. Here, we provide a quantitative assessment of the energetics of dopamine (DA) translocation through the human DA transporter (hDAT), using a combination of molecular modeling, simulation, and analysis tools. DA-binding and -unbinding events, which generally involve local configurational changes, are evaluated using free-energy perturbation or adaptive biasing force methods. The global transitions between the outward-facing state and the inward-facing state, on the other hand, require a dual-boost accelerated molecular dynamics simulation. We present results on DA-binding/unbinding energetics under different conditions, as well as the conformational energy landscape of hDAT in both DA-bound and -unbound states. The study provides a tractable method of approach for quantitative evaluation of substrate-binding energetics and efficient estimation of conformational energy landscape, in general.

Indexed as

DopamineDopamine Plasma Membrane Transport ProteinsHumansLipid BilayersMolecular Dynamics SimulationProtein BindingProtein Structure, TertiarySubstrate SpecificityThermodynamicsDopamineDopamine Plasma Membrane Transport ProteinsLipid Bilayers

Identifiers

PMID29232131
PMCPMC5991911

What OpenQuestion holds

Textmetadata
LicenceTDM
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.