Evidence map›Paper›PMID 20604558›Full record

ArticleThe journal of physical chemistry. B2010

Computational mutation scanning and drug resistance mechanisms of HIV-1 protease inhibitors.

Ge-Fei Hao, Guang-Fu Yang, Chang-Guo Zhan

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. The Spike Mutants Website: A Worldwide Used Resource against SARS-CoV-2.International journal of molecular sciences · 2022
    Article
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  8. Protein design algorithms predict viable resistance to an experimental antifolate.Proceedings of the National Academy of Sciences of the United States of America · 2015
    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

3 authors at 2 institutions in 2 countries.

Ge-Fei HaoKey Laboratory of Pesticide & Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, PR China.
Guang-Fu Yang
Chang-Guo Zhan
University of Kentucky · USCentral China Normal University · CN

Funding

Phosphodiesterase-2 and Mood Disorders: Target Validation and Drug DiscoveryRC1MH088480 · NIMH · WEST VIRGINIA UNIVERSITY · PI O'DONNELL, JAMES M, ZHAN, CHANG-GUO · 2009 to 2010
$952k
NIMH NIH HHS RC1 MH088480NIMH NIH HHS RC1MH088480
6 · The paper itself

Abstract

The drug resistance of various clinically available HIV-1 protease inhibitors has been studied using a new computational protocol, that is, computational mutation scanning (CMS), leading to valuable insights into the resistance mechanisms and structure-resistance correction of the HIV-1 protease inhibitors associated with a variety of active site and nonactive site mutations. By using the CMS method, the calculated mutation-caused shifts of the binding free energies linearly correlate very well with those derived from the corresponding experimental data, suggesting that the CMS protocol may be used as a generalized approach to predict drug resistance associated with amino acid mutations. Because it is essentially important for understanding the structure-resistance correlation and for structure-based drug design to develop an effective computational protocol for drug resistance prediction, the reasonable and computationally efficient CMS protocol for drug resistance prediction should be valuable for future structure-based design and discovery of antiresistance drugs in various therapeutic areas.

Indexed as

MutationComputational BiologyDrug Resistance, ViralHIV-1HIV ProteaseHIV Protease InhibitorsHumansMolecular Dynamics SimulationThermodynamicsHIV ProteaseHIV Protease Inhibitorsp16 protease, Human immunodeficiency virus 1

Identifiers

PMID20604558
PMCPMC2916083
OpenAlexW1970573493

What OpenQuestion holds

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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.