Evidence map›Paper›PMID 20427241›Full record

ArticleComputational biology and chemistry2010

Potential drug-like inhibitors of Group 1 influenza neuraminidase identified through computer-aided drug design.

Jacob D Durrant, J Andrew McCammon

Abstract read
In one paragraph

Article in Computational biology and chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. All-atom virus simulations.Current opinion in virology · 2018
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Molecular recognition in the case of flexible targets.Current pharmaceutical design · 2011
    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

2 authors at 2 institutions in 1 country.

Jacob D DurrantBiomedical Sciences Program, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0365, United States. jdurrant@ucsd.edu
J Andrew McCammon
Howard Hughes Medical Institute · USUniversity of California, San Diego · US

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
GRADUATE TRAINING IN CELLULAR &MOLECULAR PHARMACOLOGYT32GM007752 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROWN, JOAN HELLER, HANDEL, TRACY M · 1985 to 2023
$13.5M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Howard Hughes Medical InstituteNCRR NIH HHS P41 RR008605NIGMS NIH HHS GM31749NIGMS NIH HHS R01 GM031749NIGMS NIH HHS T32 GM007752
6 · The paper itself

Abstract

Pandemic (H1N1) influenza poses an imminent threat. Nations have stockpiled inhibitors of the influenza protein neuraminidase in hopes of protecting their citizens, but drug-resistant strains have already emerged, and novel therapeutics are urgently needed. In the current work, the computer program AutoGrow is used to generate novel predicted neuraminidase inhibitors. Given the great flexibility of the neuraminidase active site, protein dynamics are also incorporated into the computer-aided drug-design process. Several potential inhibitors are identified that are predicted to bind to neuraminidase better than currently approved drugs.

Indexed as

Drug DesignAntiviral AgentsEnzyme InhibitorsHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMolecular Dynamics SimulationNeuraminidaseAntiviral AgentsEnzyme InhibitorsNeuraminidase

Identifiers

PMID20427241
PMCPMC2896249
OpenAlexW2047267041

What OpenQuestion holds

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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.