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

Bioresource Technology

Volumn 102, Issue 2, 2011, Pages 1496-1502

  Teresa Caldeira, A ^a   Arteiro, José M ^a   Roseiro, José C ^b   Neves, José ^c   Vicente, H ^a  

^a UNIVERSITY OF ÉVORA   (Portugal)

^b LABORATÓRIO NACIONAL DE ENERGIA E GEOLOGIA   (Portugal)

^c UNIVERSITY OF MINHO   (Portugal)

Author keywords

Anti fungal activity; Bacillus amiloliquefaciens; Neural networks; Spore formation

Indexed keywords

ANTI-FUNGAL ACTIVITY; ANTIFUNGAL COMPOUNDS; ARTIFICIAL NEURAL NETWORKS; ASPARTIC ACIDS; BACILLUS AMILOLIQUEFACIENS; BACILLUS AMYLOLIQUEFACIENS; BIOMASS CONCENTRATIONS; COMBINED EFFECT; EXPERIMENTAL DATA; INCUBATION TIME; MODEL RESULTS; NITROGEN SOURCES; RESPONSE SURFACE METHODOLOGY; SPORE FORMATION; VALIDATION STAGES;

AMINO ACIDS; BACTERIOLOGY; FUNGI; ORGANIC ACIDS;

NEURAL NETWORKS;

ASPARTIC ACID; NITROGEN; PESTICIDE;

ANTIMICROBIAL ACTIVITY; ARTIFICIAL NEURAL NETWORK; ASPARTIC ACID; BACTERIUM; SPORE;

ANTIFUNGAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACILLUS; BACILLUS AMYLOLIQUEFACIENS; BACTERIUM CULTURE; FUNGUS SPORE; HYPOCREA LIXII; INCUBATION TIME; MICROBIAL BIOMASS; NONHUMAN; PRIORITY JOURNAL; RESPONSE SURFACE METHOD; SPOROGENESIS;

ANTIFUNGAL AGENTS; ARTIFICIAL INTELLIGENCE; ASPARTIC ACID; BACILLUS; BIOMASS; BIOTECHNOLOGY; DATABASES AS TOPIC; NEURAL NETWORKS (COMPUTER); SPORES, BACTERIAL; TIME FACTORS;

BACILLUS AMYLOLIQUEFACIENS;

EID: 78650699604     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2010.07.080     Document Type: Article

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