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Synergy – Toxicity of Drug, Nanoparticle, and Their Synergistic Effect on Bacterial Strains


Original Data

Title: Synergy dataset – Toxicity of drug, nanoparticle, and their synergistic effect on bacterial strains.
Description: The dataset contains experimental data on the antibacterial activity of individual drugs, nanoparticles (NPs), and their combinations against various bacterial strains. It includes measurements of inhibition zones, MIC values, viability, and calculated synergy metrics (e.g., FIC, fold increase).
Total number of records: 3226
Number of features (columns): 34
Data type: Mixed
Application: Nanomaterials
Automatic validation: Yes

A complete data table can be found in the internal dataset file: synergy_NeurIPS_updated_data


Data Scheme

Synergy Dataset – Column Descriptions

Column Name Description
sn Internal index of the record
NP Nanoparticle name (Ag, Au, CuO, etc.)
bacteria Bacteria species
strain Strain identifier (e.g., ATCC 25922, MTCC 443)
NP_synthesis Method of nanoparticle synthesis (e.g., green, chemical)
drug Name of the antibiotic tested
drug_dose_µg_disk Dose of drug in disc diffusion assay
NP_concentration_µg_ml NP concentration in µg/mL
NP_size_min_nm Minimum NP size in nanometers
NP_size_max_nm Maximum NP size in nanometers
NP_size_avg_nm Average NP size in nanometers
shape Morphology of the NP
method Assay method used
ZOI_drug_mm_or_MIC _µg_ml Zone of inhibition or MIC for drug alone
error_ZOI_drug_mm_or_MIC_µg_ml Standard deviation for ZOI_drug_mm_or_MIC
ZOI_NP_mm_or_MIC_np_µg_ml ZOI or MIC for NP alone
error_ZOI_NP_mm_or_MIC_np_µg_ml Standard deviation for NP assay
ZOI_drug_NP_mm_or_MIC_drug_NP_µg_ml ZOI or MIC for drug + NP
error_ZOI_drug_NP_mm_or_MIC_drug_NP_µg_ml Standard deviation for combination
fold_increase_in_antibacterial_activity Fold increase in combination efficiency
zeta_potential_mV Surface charge in mV
MDR Indicates multidrug resistance (R = resistant)
FIC Fractional Inhibitory Concentration index
effect Type of synergy (synergistic, additive…)
reference Full citation or source
doi Digital Object Identifier
article_list Internal article identifier
time_hr Time of exposure in hours
coating_with_antimicrobial_peptide_polymers Presence or name of coating
combined_MIC MIC value of the full system (NP + coating)
peptide_MIC MIC value of peptide alone
viability_% Viability of bacterial sample
viability_error Associated error for viability
journal_name Name of source journal
publisher Publisher
year Year of publication
title Title of the article
journal_is_oa Whether the journal is Open Access
is_oa Whether the article is OA
oa_status OA level (green, hybrid)
pdf PDF filename in archive
access 1 = OA, 0 = closed

Metadata

Column Name Description
journal_name Journal name
publisher Publisher
year Year of publication
title Article title
journal_is_oa Whether the journal is Open Access
is_oa Whether the article is Open Access
oa_status Type of OA (green, hybrid, closed)
pdf PDF filename
access 1 = OA, 0 = closed

Key Notes

  • Units: Embedded directly in column names (e.g., nm, mV, mm)
  • Missing values: Represented as blank cells (e.g., for Drug, peptide_MIC, etc.)
  • Synergy metrics: FIC and fold_increase_in_antibacterial_activity quantify interaction strength between drug and NP
  • MDR: Indicates resistance status (R = Resistant)
  • Coating: Captures presence of peptide/polymer coatings with antimicrobial properties

Dataset Description

The Synergy dataset contains experimental data focused on evaluating the combined antibacterial effects of inorganic nanoparticles and conventional antibiotics. It includes tests performed on multiple bacterial strains, including standard and multidrug-resistant (MDR) variants.

The dataset captures:

  • Physicochemical properties of nanoparticles (size, shape, zeta potential, synthesis method)
  • Drug-specific details (name, dose, MIC, effect)
  • Antibacterial activity metrics:
  • Drug alone
  • Nanoparticle alone
  • Drug + NP combination
  • Synergy indicators (FIC, fold increase)
  • Bacterial viability after treatment
  • Metadata including publication source, year, and access status

This dataset is intended to support research in nanomedicine and antimicrobial resistance, particularly in the design and evaluation of nanoparticle-drug combinations with synergistic effects.

Validation Results

Validation is in progress; results will be provided in future versions.