Evidence map›Paper›PMID 40083882›Full record

ArticleApplied sciences (Basel, Switzerland)2024

Identifying p56

Priyanka Samanta, Robert J Doerksen

Abstract read
In one paragraph

Article in Applied sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Priyanka SamantaDepartment of BioMolecular Sciences, School of Pharmacy, University of Mississippi, University, MS, USA, 38677-1848.
Robert J DoerksenDepartment of BioMolecular Sciences, School of Pharmacy, University of Mississippi, University, MS, USA, 38677-1848.

Funding

Tracking Glycosylation State with Fluorinated Glycosides ProbesP20GM130460 · NIGMS · UNIVERSITY OF MISSISSIPPI · PI Joshua S Sharp · 2020 to 2026
$17.9M
NIGMS NIH HHS P20 GM130460
6 · The paper itself

Abstract

Bacterial infections are the second-leading cause of death, globally. The prevalence of antibacterial resistance has kept the demand strong for the development of new and potent drug candidates. It has been demonstrated that Src protein tyrosine kinases (TKs) play an important role in the regulation of inflammatory responses to tissue injury, which can trigger the onset of several severe diseases. We carried out a search for novel Src protein TK inhibitors, commencing from reported highly potent anti-bacterial compounds obtained using the Mannich reaction, using a combination of e-pharmacophore modeling, virtual screening, ensemble docking, and core hopping. The top-scoring compounds from ligand-based virtual screening were modified using protein structure-based design approaches and their binding to the Src homology-2 domain of p56

Indexed as

ADMET predictionscore hoppingensemble dockinge-pharmacophore modelingprotein–ligand interactionsvirtual screening

Identifiers

PMID40083882
PMCPMC11906178

What OpenQuestion holds

Textmetadata
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.