ArticleNanomaterials (Basel, Switzerland)2021
A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles.
Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing plant growth-promoting bacteria for nanoparticle biosynthesis: a systematic review of mechanisms, agricultural applications, and biomedical potential.Bioprocess and biosystems engineering · 2026Pooled it
- Machine Learning-Driven Nanoscale Synthesis for Electrocatalytic Performance: From Data-Driven Methodologies to Closed-Loop Optimization.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Smart Nano-Antibiotics: AI-Guided Stimuli-Responsive Nanoplatforms for Precision Antimicrobial Therapy.Antibiotics (Basel, Switzerland) · 2026Review
- Data-Driven Engineering of Antimicrobial Nanomaterials for Food Safety and Biomedical Systems.Nanomaterials (Basel, Switzerland) · 2026Review
- A cyanobacteria-mediated TiO₂ nanoparticle and propolis cream enhances antifungal activity and wound healing against Candida albicans in mice.Scientific reports · 2026Article
- Potentials of Machine Learning in Predicting Key Features of Synthetic Antimicrobial Polymers.ACS polymers Au · 2026Article
- Recent advances in chitosan-based nanomaterials for enhanced antimicrobial activity.World journal of microbiology & biotechnology · 2026Review
- Deep learning-based high-information-content graph representation of early stage bacterial biofilms.NPJ biofilms and microbiomes · 2026Article
- Mechanistic advances in microbial nanobiotechnology and their applications in sustainable agriculture, environment and biomedicine.Discover nano · 2026Review
- Article
- Zone of inhibition prediction in silver nanoparticle antimicrobial activity via physics-guided liquid state machine.Biomaterials and biosystems · 2026Article
- Harnessing biogenic nanoparticles for combating antibiotic resistance: green synthesis, mechanistic insights, and biotechnological applications.Frontiers in bioengineering and biotechnology · 2026Review
- Dimensionally Engineered Nanotherapeutics for Pulpitis and Periodontitis: From Structural Design to Artificial Intelligence-Enabled Precision Therapy.International journal of nanomedicine · 2026Review
- Article
- Progress and gaps in antimicrobial resistance research within One Health sectors in China: a systematic analysis.Science China. Life sciences · 2025Article
- Enabling Fast AI-Driven Inverse Design of a Multifunctional Nanosurface by Parallel Evolution Strategies.Nanomaterials (Basel, Switzerland) · 2024Article
- A roadmap towards safe and sustainable by design nanotechnology: Implementation for nano-silver-based antimicrobial textile coatings production by ASINA project.Computational and structural biotechnology journal · 2024Article
- Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.Computational and structural biotechnology journal · 2024Article
- Bridging Nanomanufacturing and Artificial Intelligence-A Comprehensive Review.Materials (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The emergence and rapid spread of multidrug-resistant bacteria strains are a public health concern. This emergence is caused by the overuse and misuse of antibiotics leading to the evolution of antibiotic-resistant strains. Nanoparticles (NPs) are objects with all three external dimensions in the nanoscale that varies from 1 to 100 nm. Research on NPs with enhanced antimicrobial activity as alternatives to antibiotics has grown due to the increased incidence of nosocomial and community acquired infections caused by pathogens. Machine learning (ML) tools have been used in the field of nanoinformatics with promising results. As a consequence of evident achievements on a wide range of predictive tasks, ML techniques are attracting significant interest across a variety of stakeholders. In this article, we present an ML tool that successfully predicts the antibacterial capacity of NPs while the model's validation demonstrates encouraging results (
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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.