Evidence map›Paper›PMID 23566104›Full record

ArticleBiochemistry2013

Elucidating a relationship between conformational sampling and drug resistance in HIV-1 protease.

Ian Mitchelle S de Vera, Adam N Smith, Maria Cristina A Dancel, Xi Huang, Ben M Dunn, Gail E Fanucci

Abstract read
In one paragraph

Article in Biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Viewing rare conformations of the βProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. Article
  8. Article
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  10. A Bayesian approach to quantifying uncertainty from experimental noise in DEER spectroscopy.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Structural basis and distal effects of Gag substrate coevolution in drug resistance to HIV-1 protease.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. Article
  17. Drug Resistance Mutations Alter Dynamics of Inhibitor-Bound HIV-1 Protease.Journal of chemical theory and computation · 2014
    Article
  18. Article
  19. 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

6 authors at 2 institutions in 1 country.

Ian Mitchelle S de VeraDepartment of Chemistry, P.O. Box 117200, University of Florida , Gainesville, Florida 32611-7200, United States.
Adam N Smith
Maria Cristina A Dancel
Xi Huang
Ben M Dunn
Gail E Fanucci
University of Florida · USFlorida College · US

Funding

Human Immunodeficiency Virus ProteinaseR37AI028571 · NIAID · UNIVERSITY OF FLORIDA · PI DUNN, BEN M. · 2005 to 2014
$3.8M
HUMAN IMMUNODEFICIENCY VIRUS PROTEINASER01AI028571 · NIAID · UNIVERSITY OF FLORIDA · PI DUNN, BEN M. · 1989 to 2004
$1.3M
Elucidating Molecular Mechanisms of Drug Resistance in HIV-1 ProteaseR01GM105409 · NIGMS · UNIVERSITY OF FLORIDA · PI FANUCCI, GAIL E · 2013 to 2016
$1.1M
Upgrade to E500 X- and Q-Band CW EPR Spectrometer for Biomedical ResearchS10RR031603 · NCRR · UNIVERSITY OF FLORIDA · PI FANUCCI, GAIL E · 2011 to 2011
$523k
NCRR NIH HHS S10 RR031603NIAID NIH HHS R01 AI028571NIAID NIH HHS R37 AI028571NIAID NIH HHS R37 AI28571NIGMS NIH HHS R01 GM105409
6 · The paper itself

Abstract

Enzyme targets in rapidly replicating systems, such as retroviruses, commonly respond to drug-selective pressure with mutations arising in the active site pocket that limit inhibitor effectiveness by introducing steric hindrance or by eliminating essential molecular interactions. However, these primary mutations are disposed to compromising pathogenic fitness. Emerging secondary mutations, which are often found outside of the binding cavity, may or can restore fitness while maintaining drug resistance. The accumulated drug pressure selected mutations could have an indirect effect in the development of resistance, such as altering protein flexibility or the dynamics of protein-ligand interactions. Here, we show that accumulation of mutations in a drug-resistant HIV-1 protease (HIV-1 PR) variant, D30N/M36I/A71V, changes the fractional occupancy of the equilibrium conformational sampling ensemble. Correlations are made among populations of the conformational states, namely, closed-like, semiopen, and open-like, with inhibition constants, as well as kinetic parameters. Mutations that stabilize a closed-like conformation correlate with enzymes of lowered activity and with higher affinity for inhibitors, which is corroborated by a further increase in the fractional occupancy of the closed state upon addition of inhibitor or substrate-mimic. Cross-resistance is found to correlate with combinations of mutations that increase the population of the open-like conformations at the expense of the closed-like state while retaining native-like occupancy of the semiopen population. These correlations suggest that at least three states are required in the conformational sampling model to establish the emergence of drug resistance in HIV-1 PR. More importantly, these results shed light on a possible mechanism whereby mutations combine to impart drug resistance while maintaining catalytic activity.

Indexed as

Drug Resistance, ViralElectron Spin Resonance SpectroscopyEnzyme StabilityHIV-1HIV ProteaseHIV Protease InhibitorsHumansKineticsModels, MolecularMolecular Dynamics SimulationMutagenesis, Site-DirectedMutationProtein ConformationThermodynamicsHIV ProteaseHIV Protease Inhibitorsp16 protease, Human immunodeficiency virus 1

Identifiers

PMID23566104
PMCPMC3851887
OpenAlexW1968841418

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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.