Evidence map›Paper›PMID 30571126›Full record

ArticleThe journal of physical chemistry. B2019

Unbinding Dynamics of Non-Nucleoside Inhibitors from HIV-1 Reverse Transcriptase.

Leela S Dodda, Julian Tirado-Rives, William L Jorgensen

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2019. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

3 authors.

Leela S DoddaDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.
Julian Tirado-RivesDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.ORCID 0000-0001-7330-189X
William L JorgensenDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.ORCID 0000-0002-3993-9520

Funding

POTENTIAL FUNCTIONS FOR WATER PROTEIN INTERACTIONSR01GM032136 · NIGMS · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1985 to 2023
$8.2M
COMPUTER-AIDED DESIGN OF ANTIHIV DRUGSR01AI044616 · NIAID · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1999 to 2022
$7.7M
NIAID NIH HHS R01 AI044616NIGMS NIH HHS R01 GM032136
6 · The paper itself

Abstract

Non-nucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs), which bind to an allosteric site 10-15 Å from the polymerase active site, play a central role in anti-HIV chemotherapy. Though NNRTIs have been known for 30 years, the pathways by which they bind and unbind from HIV-RT have not been characterized. In crystal structures for complexes, three channels are found to extend from the NNRTI binding site to the exterior of the protein, while added mystery comes from the fact that the binding site is collapsed in the unliganded protein. To address this issue, metadynamics simulations have been performed to elucidate the unbinding of four NNRTIs from HIV-RT. A general and transferable collective variable defined by the distance between the center-of-mass (COM) of the binding pocket and COM of the ligand is used to follow the dynamics while minimizing the bias. The metadynamics also allows computation of the barriers to unbinding, which are compared with the observed potencies of the compounds in an antiviral assay.

Indexed as

Molecular Dynamics SimulationHIV Reverse TranscriptaseProtein BindingProtein ConformationReverse Transcriptase InhibitorsHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase Inhibitors

Identifiers

PMID30571126
PMCPMC6395492

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Registered trials

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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.