ReviewFrontiers in microbiology2021
An Overview of Biological and Computational Methods for Designing Mechanism-Informed Anti-biofilm Agents.
Review in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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.
Who cites it
17 citing papers in PubMed, 52 citations in OpenAlex.
- Modeling chronic infection withInfection and immunity · 2026Article
- Deep learning-based high-information-content graph representation of early stage bacterial biofilms.NPJ biofilms and microbiomes · 2026Article
- Review
- Mapping the Antibiofilm Peptide Space with Similarity Networks and Curated Negative Sets.ACS omega · 2025Article
- Emerging Multimodal Strategies for Bacterial Biofilm Eradication: A Comprehensive Review.Microorganisms · 2025Review
- Virulence arresting drug discovery by strategies targeting bacterial virulence: Mainly focusing on quorum-sensing interference and biofilm inhibition.Journal of pharmaceutical analysis · 2025Review
- Biofilm Production in Intensive Care Units: Challenges and Implications.Pathogens (Basel, Switzerland) · 2024Review
- Antibiofilm approaches as a new paradigm for treating infections.Progress in biomedical engineering (Bristol, England) · 2024Review
- Antibiofilm activity of marine microbial natural products: potential peptide- and polyketide-derived molecules from marine microbes toward targeting biofilm-forming pathogens.Journal of natural medicines · 2024Review
- TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa.Journal of computer-aided molecular design · 2023Article
- Liposomes-Based Drug Delivery Systems of Anti-Biofilm Agents to Combat Bacterial Biofilm Formation.Antibiotics (Basel, Switzerland) · 2023Review
- Complex Networks Analyses of Antibiofilm Peptides: An Emerging Tool for Next-Generation Antimicrobials' Discovery.Antibiotics (Basel, Switzerland) · 2023Article
- One Health-One Biofilm.Veterinary research · 2022Article
- Biofilm and Small Colony Variants-An Update onInternational journal of molecular sciences · 2022Review
- Microbial Biofilms: Structural Plasticity and Emerging Properties.Microorganisms · 2022Article
- Factors mediatingCurrent research in microbial sciences · 2022Review
- AMPing Up the Search: A Structural and Functional Repository of Antimicrobial Peptides for Biofilm Studies, and a Case Study of Its Application toFrontiers in cellular and infection microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial biofilms are complex and highly antibiotic-resistant aggregates of microbes that form on surfaces in the environment and body including medical devices. They are key contributors to the growing antibiotic resistance crisis and account for two-thirds of all infections. Thus, there is a critical need to develop anti-biofilm specific therapeutics. Here we discuss mechanisms of biofilm formation, current anti-biofilm agents, and strategies for developing, discovering, and testing new anti-biofilm agents. Biofilm formation involves many factors and is broadly regulated by the stringent response, quorum sensing, and c-di-GMP signaling, processes that have been targeted by anti-biofilm agents. Developing new anti-biofilm agents requires a comprehensive systems-level understanding of these mechanisms, as well as the discovery of new mechanisms. This can be accomplished through omics approaches such as transcriptomics, metabolomics, and proteomics, which can also be integrated to better understand biofilm biology. Guided by mechanistic understanding,
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Registered trials
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.