Evidence map›Paper›PMID 36851756›Full record

ArticleViruses2023

Automated SSHHPS Analysis Predicts a Potential Host Protein Target Common to Several Neuroinvasive (+)ssRNA Viruses.

Katarina Z Doctor, Elizabeth Gilmour, Marilyn Recarte, Trinity R Beatty, Intisar Shifa, Michaela Stangel, Jacob Schwisow, Dagmar H Leary, Patricia M Legler

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors at 5 institutions in 1 country.

Katarina Z DoctorNavy Center for Applied Research in AI (NCARAI) Information Technology Division, U.S. Naval Research Laboratory, Washington, DC 20375, USA.ORCID 0000-0001-8534-2808
Elizabeth GilmourNavy Center for Applied Research in AI (NCARAI) Information Technology Division, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Marilyn RecarteComputer Science Department, Oberlin College, Oberlin, OH 44074, USA.
Trinity R BeattyBiology Department, Winston-Salem State University, Winston-Salem, NC 27110, USA.
Intisar ShifaBiology Department, Norfolk State University, Norfolk, VA 23504, USA.
Michaela StangelChemistry Department, US Naval Academy, Annapolis, MD 21402, USA.
Jacob SchwisowChemistry Department, US Naval Academy, Annapolis, MD 21402, USA.
Dagmar H LearyCenter for Biomolecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Patricia M LeglerCenter for Biomolecular Science and Engineering (CBMSE), U.S. Naval Research Laboratory, Washington, DC 20375, USA.ORCID 0000-0003-1196-1061
United States Naval Research Laboratory · USUnited States Naval Academy · USNorfolk State University · USOberlin College · USWinston-Salem State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the viral genome, short stretches of homologous host pathogen sequences (SSHHPS) span the protease cleavage sites. To identify host proteins that may be cleaved during infection, we searched the human proteome for viral protease cleavage sites (~20 amino acids). We developed a

Indexed as

COVID-19Zika VirusZika Virus InfectionAnimalsEndopeptidasesHorsesHumansPeptide HydrolasesSARS-CoV-2EndopeptidasesPeptide HydrolasesADGRA2blood–brain barrierentryGPR124host–pathogenneuroinvasiveproteaseSARS-CoV-2sequence-to-symptomSSHHPSsymptom predictionvirusWnt

Identifiers

PMID36851756
PMCPMC9961674
OpenAlexW4321099285

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.