Evidence map›Paper›PMID 33886267›Full record

ArticleACS chemical neuroscience2021

Binding Mode of Human Norepinephrine Transporter Interacting with HIV-1 Tat.

Charles Adeniran, Yaxia Yuan, Sarah E Davis, Ciai Lin, Jiahui Xu, Jun Zhu, Chang-Guo Zhan

Open access · greenAbstract read
In one paragraph

Article in ACS chemical neuroscience, 2021. 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
0.6field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 1 country.

Charles AdeniranMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, Kentucky 40536, United States.
Yaxia YuanMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, Kentucky 40536, United States.
Sarah E DavisDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, South Carolina 29208, United States.
Ciai LinDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, South Carolina 29208, United States.
Jiahui XuDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, South Carolina 29208, United States.
Jun ZhuDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, South Carolina 29208, United States.
Chang-Guo ZhanMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, Kentucky 40536, United States.ORCID 0000-0002-4128-7269
University of South Carolina · USUniversity of Kentucky · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Understanding the role of anti-apolipoprotein A-I antibodies in atherosclerotic cardiovascular diseaseP20GM130456 · NIGMS · UNIVERSITY OF KENTUCKY · PI Jon Scott Thorson · 2020 to 2026
$18.7M
Molecular mechanisms: Dysregulation of monoamine transporters by HIV-1Tat and cocaineR01DA035714 · NIDA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Jay P. McLaughlin, CHANG-GUO ZHAN · 2013 to 2026
$6.6M
NCATS NIH HHS UL1 TR001998NIDA NIH HHS R01 DA035714NIGMS NIH HHS P20 GM130456
6 · The paper itself

Abstract

The increase of HIV infection in macrophages results in HIV proteins being released, like HIV Tat which impairs the function of monoamine transporters. HIV-infected patients have displayed increased synaptic levels of dopamine (DA) due to reduced binding and function of monoamine transporters such as the norepinephrine transporter (NET) and the dopamine transporter (DAT). Development of a three-dimensional model of the HIV-1 Tat-human NET (hNET) binding complex would help reveal how HIV-1 Tat causes toxicity in the neuron by affecting DA uptake. Here we use computational techniques such as molecular modeling to study microscopic properties and molecular dynamics of the HIV-1 Tat-hNET binding. These modeling techniques allow us to analyze noncovalent interactions and observe residue-residue contacts to verify a model structure. The modeling results studied here show that HIV-1 Tat-hNET binding is highly dynamic and that HIV-1 Tat preferentially binds to hNET in its outward-open state. In particular, HIV-1 Tat forms hydrogen bond interactions with side chains of hNET residues Y84, K88, and T544. The favorable hydrogen bonding interactions of HIV-1 Tat with the hNET side chain residues Y84 and T544 have been validated by our subsequently performed DA uptake activity assays and site-directed mutagenesis, suggesting that the modeled HIV-1 Tat-hNET binding mode is reasonable. These mechanistic and structural insights gained through homology models discussed in this study are expected to encourage the pursuit of pharmacological and biochemical studies on HIV-1 Tat interacting with hNET mechanisms and detailed structures.

Indexed as

HIV-1HIV InfectionsDopamineDopamine Plasma Membrane Transport ProteinsHumansMutagenesis, Site-DirectedNorepinephrineNorepinephrine Plasma Membrane Transport ProteinsDopamineDopamine Plasma Membrane Transport ProteinsNorepinephrineNorepinephrine Plasma Membrane Transport ProteinsdopamineMolecular dockingmolecular dynamicsnorepinephrine transporterprotein−protein interactiontrans-activator of transcription

Identifiers

PMID33886267
PMCPMC8562539
OpenAlexW3152945437

What OpenQuestion holds

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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.