Evidence map›Paper›PMID 31583791›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2019

Validating a Predictive Structure-Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation.

Adam A Dundas, Olutoba Sanni, Jean-Frédéric Dubern, Georgios Dimitrakis, Andrew L Hook, Derek J Irvine, Paul Williams, Morgan R Alexander

Open access · hybridAbstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. HAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  8. Comparative Evaluation ofVision (Basel, Switzerland) · 2023
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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

8 authors at 1 institution in 1 country.

Adam A DundasAdvanced Medical and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID https://orcid.org/0000-0002-7532-5374
Olutoba SanniAdvanced Medical and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.
Jean-Frédéric DubernCentre of Biomolecular Sciences, School of Life Sciences University of Nottingham, Nottingham, NG7 2RD, UK.
Georgios DimitrakisDepartment of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD, UK.
Andrew L HookAdvanced Medical and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.
Derek J IrvineDepartment of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD, UK.
Paul WilliamsCentre of Biomolecular Sciences, School of Life Sciences University of Nottingham, Nottingham, NG7 2RD, UK.
Morgan R AlexanderAdvanced Medical and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID https://orcid.org/0000-0001-5182-493X
University of Nottingham · GB

Funding

Engineering and Physical Sciences Research Council EP/N006615/1University of NottinghamWellcome Trust 103882Wellcome Trust 103884
6 · The paper itself

Abstract

Synthetic materials are an everyday component of modern healthcare yet often fail routinely as a consequence of medical-device-centered infections. The incidence rate for catheter-associated urinary tract infections is between 3% and 7% for each day of use, which means that infection is inevitable when resident for sufficient time. The O'Neill Review on antimicrobial resistance estimates that, left unchecked, ten million people will die annually from drug-resistant infections by 2050. Development of biomaterials resistant to bacterial colonization can play an important role in reducing device-associated infections. However, rational design of new biomaterials is hindered by the lack of quantitative structure-activity relationships (QSARs). Here, the development of a predictive QSAR is reported for bacterial biofilm formation on a range of polymers, using calculated molecular descriptors of monomer units to discover and exemplify novel, biofilm-resistant (meth-)acrylate-based polymers. These predictions are validated successfully by the synthesis of new monomers which are polymerized to create coatings found to be resistant to biofilm formation by six different bacterial pathogens: Pseudomonas aeruginosa, Proteus mirabilis, Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, and Staphylococcus aureus.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial InfectionsBiocompatible MaterialsBiofilmsBiofoulingHumansPolymersStructure-Activity RelationshipAnti-Bacterial AgentsBiocompatible MaterialsPolymersbiofilmslow-foulingpolymer microarraysquantitative structure-activity relationshipstransesterification

Identifiers

PMID31583791
PMCPMC7613244
OpenAlexW2978740481

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.