Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans-Reference-Cited by-同舟云学术

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Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans

Published:2009-01 Issue:1 Volume:76 Page:25-29
ISSN:0167-7012
Container-title:Journal of Microbiological Methods
language:en
Short-container-title:Journal of Microbiological Methods

Author:

Buciński Adam,Socha Agnieszka,Wnuk Małgorzata,Bączek Tomasz,Nowaczyk Alicja,Krysiński Jerzy,Goryński Krzysztof,Koba Marcin

Publisher

Elsevier BV

Subject

Microbiology (medical),Molecular Biology,Microbiology

Reference32 articles.

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2. The effect of a 0.1% cetylpyridinium chloride mouthrinse on plaque and gingivitis inadults subjects;Aschley;Br. Dent. J.,1984

3. Cut-off effects in biological activities of sufactants;Balgavy;Adv. Colloid Inteface Sci.,1996

4. Potential commercial application of microbial surfactants;Banat;Appl. Microbiol. Biotech.,2000

5. Artificial neural network analysis for evaluation of peptide MS/MS spectra in proteomics;Bączek;Anal. Chem.,2004

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4. Application of artificial neural networks to the prediction of antifungal activity of imidazole derivatives against Candida albicans;Chemometrics and Intelligent Laboratory Systems;2022-03

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