Evidence map›Paper›PMID 39513867›Full record

ArticleCells2024

p70S6K as a Potential Anti-COVID-19 Target: Insights from Wet Bench and In Silico Studies.

Sharon Shechter, Rajat Kumar Pal, Fabio Trovato, Or Rozen, Matthew J Gage, Dorit Avni

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sharon ShechterDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Rajat Kumar PalIndependent Free Energy Researcher, Waltham, MA 02451, USA.ORCID 0000-0001-9860-466X
Fabio TrovatoPsivant Therapeutics, 451 D Street, Boston, MA 02210, USA.ORCID 0000-0002-1324-0930
Or RozenDepartment of Natural Compound, Nutrition, and Health, MIGAL Galilee Research Institute, Kiryat Shmona 1101600, Israel.ORCID 0000-0001-5865-3707
Matthew J GageDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0003-2304-6960
Dorit AvniDepartment of Natural Compound, Nutrition, and Health, MIGAL Galilee Research Institute, Kiryat Shmona 1101600, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of SARS-CoV-2 infection in 2019 sparked a global COVID-19 pandemic. This infection is marked by a significant rise in both viral and host kinase activity. Our primary objective was to identify a pivotal host kinase essential for COVID-19 infection and the associated phenomenon of the cytokine storm, which may lead to long-term COVID-19 complications irrespective of viral genetic variations. To achieve this, our study tracked kinase phosphorylation dynamics in RAW264.7 macrophages following SPIKE transfection over time. Among the kinases surveyed, p70S6K (RPS6KB1) exhibited a 3.5-fold increase in phosphorylation at S418. This significant change prompted the selection of p70S6K for in silico investigation, utilizing its structure bound to M2698 (PDB: 7N93). M2698, an oral dual Akt/p70S6K inhibitor with an IC

Indexed as

COVID-19 Drug TreatmentRibosomal Protein S6 Kinases, 70-kDaSARS-CoV-2AnimalsAntiviral AgentsComputer SimulationCOVID-19HumansMiceMolecular Docking SimulationMolecular Dynamics SimulationPhosphorylationProtein BindingProtein Kinase InhibitorsProto-Oncogene Proteins c-aktRAW 264.7 CellsAntiviral AgentsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktRibosomal Protein S6 Kinases, 70-kDaSpike Glycoprotein, CoronavirusCOVID-19cytokine release syndromekinasesmacrophagesSARS-CoV-2

Identifiers

PMID39513867
PMCPMC11545240

What OpenQuestion holds

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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.