An artificial intelligence approach to Bacillus amyloliquefaciens CCMI 1051 cultures: Application to the production of anti-fungal compounds

The combined effect of incubation time (IT) and aspartic acid concentration (AA) on the predicted biomass concentration (BC), Bacillus sporulation (BS) and anti-fungal activity of compounds (AFA) produced by Bacillus amyloliquefaciens CCMI 1051, was studied using Artificial Neural Networks (ANNs). T...

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Veröffentlicht in:	Bioresource technology 2011, Vol.102 (2), p.1496-1502
Hauptverfasser:	Teresa Caldeira, A., Arteiro, José M., Roseiro, José C., Neves, José, Vicente, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anti-fungal activity Antifungal Agents - chemical synthesis Antifungal Agents - pharmacology Artificial Intelligence Aspartic acid Aspartic Acid - analysis Bacillus Bacillus - cytology Bacillus - drug effects Bacillus - physiology Bacillus amiloliquefaciens Bacillus amyloliquefaciens Biological and medical sciences Biomass Biotechnology - methods Culture Databases as Topic Expert systems Fundamental and applied biological sciences. Psychology Information technology Learning theory Neural networks Neural Networks (Computer) Spore formation Spores, Bacterial - drug effects Spores, Bacterial - metabolism Time Factors Trains
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