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Datasets:
QueHayRich
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NanoAntimicrobialDB

Tasks:
Tabular Regression
Tabular Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
nanotechnology
antimicrobial
nanomaterials
silver
gold
MIC
Libraries:
Datasets
pandas
License:
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NanoAntimicrobialDB / README.md
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metadata
license: cc-by-4.0
task_categories:
  - tabular-regression
  - tabular-classification
language:
  - en
tags:
  - nanotechnology
  - antimicrobial
  - nanomaterials
  - silver
  - gold
  - MIC
  - MBC
  - bacteria
  - pathogens
pretty_name: Antibacterial Nanoparticles (Ag and Au) Dataset
size_categories:
  - 100K<n<1M

NanoAntimicrobialDB

The NanoAntimicrobialDB dataset contains comprehensive data on the antimicrobial properties of silver (Ag) and gold (Au) nanoparticles. This dataset is structured into four distinct files, each representing the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) values for both Ag and Au nanoparticles against various bacterial strains. The dataset was developed to support research in nanomaterial synthesis, bioactivity assessment, and the development of novel antimicrobial agents.

Content Overview:

  • Ag_MIC_Database.csv: Contains MIC values for silver nanoparticles.
  • Ag_MBC_Database.csv: Contains MBC values for silver nanoparticles. (in progress)
  • Au_MIC_Database.csv: Contains MIC values for gold nanoparticles. (in progress)
  • Au_MBC_Database.csv: Contains MBC values for gold nanoparticles. (in progress)

Key Features:

  1. Nanoparticle Composition: Information on Ag and Au nanoparticles, including synthesis methods and physicochemical properties.
  2. Bacterial Strain Data: Classification of bacterial strains used in the experiments, along with their response to varying nanoparticle concentrations.
  3. Antimicrobial Efficacy: Concentration data showcasing the MIC and MBC values, which are essential for determining the inhibitory and bactericidal potency of the nanomaterials.

Potential Applications:

The dataset is designed for researchers in the fields of nanotechnology, microbiology, and material science. It can be used for:

  • Predictive modeling of nanoparticle-bacteria interactions.
  • Evaluation of nanomaterial toxicity and antimicrobial efficiency.
  • Data-driven development of new nanomaterial-based antimicrobial agents.

Please cite the associated scientific article when using this dataset in research to acknowledge the source and support ongoing research efforts.

Citation

If you use this dataset in your research, please cite the following article:

@Article

{RAG2024,
AUTHOR = {Aguilar-Garay, Ricardo and Lara-Ortiz, Luis F. and Campos-López, Maximiliano and Gonzalez-Rodriguez, Dafne E. and Gamboa-Lugo, Margoth M. and Mendoza-Pérez, Jorge A. and Anzueto-Ríos, Álvaro and Nicolás-Álvarez, Dulce E.},
TITLE = {A Comprehensive Review of Silver and Gold Nanoparticles as Effective Antibacterial Agents},
JOURNAL = {Pharmaceuticals},
VOLUME = {17},
YEAR = {2024},
NUMBER = {9},
ARTICLE-NUMBER = {1134},
URL = {https://www.mdpi.com/1424-8247/17/9/1134},
PubMedID = {39338299},
ISSN = {1424-8247},
DOI = {10.3390/ph17091134}
}