Evidence map›Paper›PMID 37329611›Full record

ArticleComputers in biology and medicine2023

Identifying FmlH lectin-binding small molecules for the prevention of Escherichia coli-induced urinary tract infections using hybrid fragment-based design and molecular docking.

Priyanka Samanta, Robert J Doerksen

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Identifying p56Applied sciences (Basel, Switzerland) · 2024
    Article
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Priyanka SamantaDepartment of BioMolecular Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA.
Robert J DoerksenDepartment of BioMolecular Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA; Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA. Electronic address: rjd@olemiss.edu.
University of Mississippi · US

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

Nearly 50% of women are affected by urinary tract infections (UTIs) during their lifetimes. The most common agent to cause UTIs is Uropathogenic Escherichia coli (UPEC). UPEC expresses fibers known as chaperone-usher pathway pili with adhesins that specifically bind to receptors as they colonize various host tissues. UPEC uses an F9/Yde/Fml pilus, tipped with FmlH, which interacts with terminal galactoside/galactosaminoside units in glycoproteins in the epithelial cells of the bladder and kidney. The extensive use of traditional antibiotics has led to the rise of various antibiotic-resistant strains of UPEC. An alternative therapeutic approach is to use an anti-adhesion strategy mediated by competitive tight-binding FmlH inhibitors. In the current study, we have applied various computational modeling techniques, including fragment-based e-pharmacophore virtual screening, molecular docking, molecular dynamics simulations and binding free energy calculations for the design of small molecules that exhibit binding to FmlH. Our modeling protocol successfully predicted ligand moieties, such as a thiazole group, which were previously found as components of UPEC adhesin pili inhibitors, thereby validating our designed screening protocol. The screening protocol developed here could be utilized for design of ligands for other homologous protein targets. We also identified several novel galactosaminoside-containing molecules that, according to the computational modeling, are predicted to interact strongly with FmlH and hence we predict will be good FmlH inhibitors. Additionally, we have prepared and supplied a database of ∼190K small molecules obtained from virtual screening, which can serve as an excellent resource for the discovery of novel FmlH inhibitors.

Indexed as

Escherichia coli InfectionsUrinary Tract InfectionsUropathogenic Escherichia coliAnti-Bacterial AgentsFemaleHumansLectinsLigandsMolecular Docking SimulationUrinary BladderAnti-Bacterial AgentsLectinsLigandsBinding free energyFmlHGlycomimeticsMolecular dockingMolecular dynamics

Identifiers

PMID37329611
PMCPMC10810094
OpenAlexW4379379098

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.