Application of Artificial Neural Networks for Predicting Imidazole Derivatives' Antimicrobial Activity against Enterococcus faecalis

Anna Badura, Łukasz Pałkowski, Alicja Nowaczyk, Marta Poćwiardowska-Głąb, Adam Buciński

Open source

DOI: 10.32383/farmpol/183146
Published: 2024-02-07
Container: Farmacja Polska
Publisher: Polish Pharmaceutical Society
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.32383/farmpol/183146,
  title = {Application of Artificial Neural Networks for Predicting Imidazole Derivatives' Antimicrobial Activity against Enterococcus faecalis},
  author = {Anna Badura and Łukasz Pałkowski and Alicja Nowaczyk and Marta Poćwiardowska-Głąb and Adam Buciński},
  year = {2024},
  journal = {Farmacja Polska},
  doi = {10.32383/farmpol/183146},
  url = {https://doi.org/10.32383/farmpol/183146}
}

RIS

TY  - JOUR
TI  - Application of Artificial Neural Networks for Predicting Imidazole Derivatives' Antimicrobial Activity against Enterococcus faecalis
AU  - Anna Badura
AU  - Łukasz Pałkowski
AU  - Alicja Nowaczyk
AU  - Marta Poćwiardowska-Głąb
AU  - Adam Buciński
PY  - 2024
JO  - Farmacja Polska
DO  - 10.32383/farmpol/183146
UR  - https://doi.org/10.32383/farmpol/183146
ER  -

APA

Badura, A., Pałkowski, Ł., Nowaczyk, A., Poćwiardowska-Głąb, M., & Buciński, A. (2024). Application of Artificial Neural Networks for Predicting Imidazole Derivatives' Antimicrobial Activity against Enterococcus faecalis. Farmacja Polska. https://doi.org/10.32383/farmpol/183146

Source records

crossref · retrieved 2026-09-25T05:05:46.296Z