Evidence map›Paper›PMID 35554915›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach.

Erica T Prates, Michael R Garvin, Piet Jones, J Izaak Miller, Kyle A Sullivan, Ashley Cliff, Joao Gabriel Felipe Machado Gazolla, Manesh B Shah, Angelica M Walker, Matthew Lane and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 77% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

15 authors at 5 institutions in 2 countries.

Erica T Prates *Oak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Michael R Garvin *Oak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Piet JonesThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA.
J Izaak MillerOak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Kyle A SullivanOak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Ashley CliffThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA.
Joao Gabriel Felipe Machado GazollaOak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Manesh B ShahGenome Science and Technology, University of Tennessee Knoxville, Knoxville, TN, USA.
Angelica M WalkerThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA.
Matthew LaneThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA.
Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Amy JusticeVA Connecticut Healthcare/General Internal Medicine, West Haven, CT, USA.
Mirko PavicicOak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA.
Jonathon RomeroThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA.
Daniel JacobsonOak Ridge National Laboratory, Computational Systems Biology, Oak Ridge, TN, USA. jacobsonda@ornl.gov.
University of Tennessee at Knoxville · USOak Ridge National Laboratory · USNational Energy Technology Laboratory · USVA Connecticut Healthcare System · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unprecedented scientific achievements in combating the COVID-19 pandemic reflect a global response informed by unprecedented access to data. We now have the ability to rapidly generate a diversity of information on an emerging pathogen and, by using high-performance computing and a systems biology approach, we can mine this wealth of information to understand the complexities of viral pathogenesis and contagion like never before. These efforts will aid in the development of vaccines, antiviral medications, and inform policymakers and clinicians. Here we detail computational protocols developed as SARS-CoV-2 began to spread across the globe. They include pathogen detection, comparative structural proteomics, evolutionary adaptation analysis via network and artificial intelligence methodologies, and multiomic integration. These protocols constitute a core framework on which to build a systems-level infrastructure that can be quickly brought to bear on future pathogens before they evolve into pandemic proportions.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsArtificial IntelligenceHumansPandemicsSystems BiologyAntiviral AgentsAntiviralCOVID-19MultiomicsPandemicSARS-CoV-2Systems Biology

Identifiers

PMID35554915
OpenAlexW4285142418

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.