Evidence map›Paper›PMID 30555910›Full record

ArticleACS central science2018

A Computational Assay that Explores the Hemagglutinin/Neuraminidase Functional Balance Reveals the Neuraminidase Secondary Site as a Novel Anti-Influenza Target.

Rommie E Amaro, Pek U Ieong, Gary Huber, Abigail Dommer, Alasdair C Steven, Robin M Bush, Jacob D Durrant, Lane W Votapka

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2018. 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
3.1field-weighted citation impact, top 8% 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, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Assembly and Analysis of Cell-Scale Membrane Envelopes.Journal of chemical information and modeling · 2022
    Article
  5. Building Structural Models of a Whole Mycoplasma Cell.Journal of molecular biology · 2022
    Article
  6. Review
  7. Article
  8. Review
  9. High resolution electron tomography and segmentation-by-modeling interpretation in Bsoft.Protein science : a publication of the Protein Society · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Art and Science of the Cellular Mesoscale.Trends in biochemical sciences · 2020
    Review
  15. Article
  16. 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

8 authors at 5 institutions in 1 country.

Rommie E AmaroDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, United States.
Pek U IeongDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, United States.
Gary HuberDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, United States.
Abigail DommerDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, United States.
Alasdair C StevenStructural Biology Laboratory, National Institutes of Health, Bethesda, Maryland, United States.
Robin M BushDepartment of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, California, United States.
Jacob D DurrantDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Lane W VotapkaDepartment of Chemistry, Point Loma Nazarene University, San Diego, California, United States.
University of California San Diego · USNational Institutes of Health · USPoint Loma Nazarene University · USUniversity of California, Irvine · USUniversity of Pittsburgh · US

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
A Structural Systems Biology Approach to Drug DiscoveryDP2OD007237 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2010 to 2015
$2.9M
NIGMS NIH HHS P41 GM103426NIH HHS DP2 OD007237
6 · The paper itself

Abstract

Studies of pathogen-host specificity, virulence, and transmissibility are critical for basic research as well as for assessing the pandemic potential of emerging infectious diseases. This is especially true for viruses such as influenza, which continue to affect millions of people annually through both seasonal and occasional pandemic events. Although the influenza virus has been fairly well studied for decades, our understanding of host-cell binding and its relation to viral transmissibility and infection is still incomplete. Assessing the binding mechanisms of complex biological systems with atomic-scale detail is challenging given current experimental limitations. Much remains to be learned, for example, about how the terminal residue of influenza-binding host-cell receptors (sialic acid) interacts with the viral surface. Here, we present an integrative structural-modeling and physics-based computational assay that reveals the sialic acid association rate constants (

Identifiers

PMID30555910
PMCPMC6276040
OpenAlexW2900387677

What OpenQuestion holds

Textmetadata
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.