Prediction of the antimicrobial activity of quaternary ammonium salts against Staphylococcus aureus using artificial neural networks

Author:

Badura Anna,Krysiński JerzyORCID,Nowaczyk Alicja,Buciński Adam

Funder

Nicolaus Copernicus University in Torun

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference42 articles.

1. Neural Networks for Pattern Recognition;Bishop,1995

2. Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans;Buciński;J. Microbiol. Methods,2009

3. The rise of deep learning in drug discovery;Chen;Drug Discov. Today,2018

4. CLSI, 2006. Performance Standards for Antimicrobial Susceptibility Testing-Sixteenth Informational Supplement. Pennsylvania: Clinical and Laboratory Standards Institute, CLSI M100-S16 (M2-A9 and M7-A7).

5. Chromosomal mutations involved in antibiotic resistance in Staphylococcus aureus;Espedido;Front. Biosci. (Schol. Ed).,2012

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