Evidence map›Paper›PMID 11752442›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2001

Computational study of protein specificity: the molecular basis of HIV-1 protease drug resistance.

W Wang, P A Kollman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  12. Losartan Interactions with 2-Hydroxypropyl-β-CD.Molecules (Basel, Switzerland) · 2022
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16 more citing papers are in PubMed but not listed here.

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

2 authors.

W WangGraduate Group in Biophysics, and Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143, USA. wwang@genome.stanford.edu
P A Kollman

Funding

XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1985 to 2011
$17.6M
Structure Biology and Targeted Drug Design for AIDSP01GM056531 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ORTIZ DE MONTELLANO, PAUL R · 1997 to 2006
$11.0M
NCRR NIH HHS P41 RR001081NCRR NIH HHS RR-1081NIGMS NIH HHS GM-56531NIGMS NIH HHS P01 GM056531
6 · The paper itself

Abstract

Drug resistance has sharply limited the effectiveness of HIV-1 protease inhibitors in AIDS therapy. It is critically important to understand the basis of this resistance for designing new drugs. We have evaluated the free energy contribution of each residue in the HIV protease in binding to one of its substrates and to the five FDA-approved protease drugs. Analysis of these free energy profiles and the variability at each sequence position suggests: (i) single drug resistance mutations are likely to occur at not well conserved residues if they interact more favorably with drugs than with the substrate; and (ii) resistance-evading drugs should have a free energy profile similar to the substrate and interact most favorably with well conserved residues. We also propose an empirical parameter, called the free energy/variability value, which combines free energy calculation and sequence analysis to suggest possible drug resistance mutations on the protease. The free energy/variability value is defined as the product of one residue's contribution to the binding free energy and the variability of that residue. This parameter can assist in designing resistance-evading drugs for any target.

Indexed as

Drug Resistance, MicrobialHIV ProteaseHIV Protease InhibitorsHumansMutationPoisson DistributionThermodynamicsHIV ProteaseHIV Protease Inhibitors

Identifiers

PMID11752442
PMCPMC64962

What OpenQuestion holds

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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.