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Open Medicine
(Feb 2013)
Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks
Wnuk Małgorzata,
Marszałł Michał,
Zapęcka Anna,
Nowaczyk Alicja,
Krysiński Jerzy,
Romaszko Jerzy,
Kawczak Piotr,
Bączek Tomasz,
Buciński Adam
Affiliations
Wnuk Małgorzata
Department of Biopharmacy, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
Marszałł Michał
Department of Medicinal Chemistry, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
Zapęcka Anna
Department of Biopharmacy, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
Nowaczyk Alicja
Department of Organic Chemistry, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
Krysiński Jerzy
Department of Pharmaceutical Technology, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
Romaszko Jerzy
NZOZ Pantamed Sp z o.o. in Olsztyn, 10-461, Olsztyn, Poland
Kawczak Piotr
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Medical University of Gdańsk, Hallera 107, 80-416, Gdańsk, Poland
Bączek Tomasz
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Medical University of Gdańsk, Hallera 107, 80-416, Gdańsk, Poland
Buciński Adam
Department of Biopharmacy, Faculty of Pharmacy, Collegium Medicum, Nicolaus Copernicus University, Jurasza 2, 85-094, Bydgoszcz, Poland
DOI
https://doi.org/10.2478/s11536-012-0052-6
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 15
Abstract
Read online
No abstracts available.
Keywords
antimicrobial activity
artificial neural networks (ann) analysis
molecular descriptors
imidazole derivatives
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