Prediction of bioactive compound activity against wood contaminant fungi using artificial neural networks

Biopesticides based on natural endophytic bacteria to control plant diseases are an ecological alternative to chemical treatments. Bacillus species produce a wide variety of metabolites with biological activity like iturinic lipopeptides. This work addresses the production of biopesticides based on...

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Veröffentlicht in:	Canadian journal of forest research 2013-11, Vol.43 (11), p.985-992
Hauptverfasser:	Vicente, Henrique, JosÃ© C. Roseiro, JosÃ© M. Arteiro, JosÃ© Neves, A. Teresa Caldeira
Format:	Artikel
Sprache:	eng
Schlagworte:	active ingredients antifungal properties Bacillus Bacillus (Bacteria) Bacillus amyloliquefaciens Bacteria Bioactive compounds Biological and medical sciences Biopesticides blue-stain fungi Chemical compounds Chemical properties Chemical treatment Contaminants decay fungi endophytes Environmental aspects Forestry Fundamental and applied biological sciences. Psychology Fungi growth retardation lipopeptides Metabolites Microbiological chemistry Neural networks Optimization Pesticides Physiological aspects Plant diseases plant diseases and disorders plant pathogenic fungi prediction Production processes Quercus suber Wood
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