Evidence map›Paper›PMID 23720322›Full record

ArticleProteins2013

The interplay of structure and dynamics: insights from a survey of HIV-1 reverse transcriptase crystal structures.

James M Seckler, Nicholas Leioatts, Hongyu Miao, Alan Grossfield

Abstract read
In one paragraph

Article in Proteins, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Decoding HIV resistance: from genotype to therapy.Future medicinal chemistry · 2017
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

4 authors at 1 institution in 1 country.

James M SecklerDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, New York.
Nicholas Leioatts
Hongyu Miao
Alan Grossfield
University of Rochester · US

Funding

Virology/Immunology CoreP30AI078498 · NIAID · UNIVERSITY OF ROCHESTER · PI DEWHURST, STEPHEN · 2008 to 2018
$14.6M
Training in Cellular, Biochemical and Molecular SciencesT32GM068411 · NIGMS · UNIVERSITY OF ROCHESTER · PI MAQUAT, LYNNE E · 2005 to 2019
$3.9M
Multiscale modeling of G protein-coupled receptorsR01GM095496 · NIGMS · UNIVERSITY OF ROCHESTER · PI GROSSFIELD, ALAN · 2011 to 2015
$1.3M
Training in Biostatistics for HIV/AIDST32AI083206 · NIAID · UNIVERSITY OF ROCHESTER · PI QIU, XING · 2010 to 2014
$952k
NIAID NIH HHS HHSN272201000055CNIAID NIH HHS P30 AI078498NIAID NIH HHS T32 AI083206NIAID NIH HHS T32AI083206NIGMS NIH HHS GM068411NIGMS NIH HHS GM095496NIGMS NIH HHS R01 GM095496NIGMS NIH HHS T32 GM068411PHS HHS 272201000055C
6 · The paper itself

Abstract

HIV-1 reverse transcriptase (RT) is a critical drug target for HIV treatment, and understanding the exact mechanisms of its function and inhibition would significantly accelerate the development of new anti-HIV drugs. It is well known that structure plays a critical role in protein function, but for RT, structural information has proven to be insufficient-despite enormous effort-to explain the mechanism of inhibition and drug resistance of non-nucleoside RT inhibitors. We hypothesize that the missing link is dynamics, information about the motions of the system. However, many of the techniques that give the best information about dynamics, such as solution nuclear magnetic resonance and molecular dynamics simulations, cannot be easily applied to a protein as large as RT. As an alternative, we combine elastic network modeling with simultaneous hierarchical clustering of structural and dynamic data. We present an extensive survey of the dynamics of RT bound to a variety of ligands and with a number of mutations, revealing a novel mechanism for drug resistance to non-nucleoside RT inhibitors. Hydrophobic core mutations restore active-state motion to multiple functionally significant regions of HIV-1 RT. This model arises out of a combination of structural and dynamic information, rather than exclusively from one or the other.

Indexed as

Cluster AnalysisComputational BiologyCrystallography, X-RayHIV Reverse TranscriptaseHydrophobic and Hydrophilic InteractionsModels, MolecularMutationProtein ConformationHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1allosteryelastic network modelprotein-drug interactionsreverse transcriptase inhibitionstructure-function

Identifiers

PMID23720322
PMCPMC3773008
OpenAlexW1525979193

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.