Improvement of trypanocidal metabolites production by Aspergillus fumigatus using neural networks |
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Authors: | Jacometti Cardoso Furtado Niege Araçari Teixeira Duarte Marta Cristina de Albuquerque Sérgio Mello Cesar Kenupp Bastos Jairo |
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Affiliation: | 1. Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Avenida do Café s/n, CEP 14040-903, Ribeirão Preto, SP, Brazil;2. Universidade de Franca, Instituto de Química, Avenida Dr. Armando Salles Oliveira, 201, CEP 14404-600, Franca, SP, Brazil;3. Universidade Estadual de Campinas, Centro Pluridisciplinar de Pesquisas Químicas, Biológicas e Agrícolas, Estrada Campinas-Paulínia, Km 119,5- Vila Betel, CEP 13083-970, Campinas, SP, Brazil |
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Abstract: | An optimization procedure using artificial neural networks was developed to determine the optimal combination of parameters, such as medium culture, initial pH, temperature and time of fermentation for maximal trypanocidal metabolites production by Aspergillus fumigatus. A data set of 81 experiments was carried out and an artificial neural network was trained to identify the optimal conditions for this process. Good correlation was obtained between the experimental and predicted values of lysis of the trypomastigote forms of Trypanosoma cruzi (r2 = 0.9990). The simulations of fermentation performance were undertaken on combinations of input variables and the highest level of activity against T. cruzi was obtained from the chloroform extract of the modified Jackson medium culture, initial pH of 6.0, incubated at 40 degrees C for 144 h. It displayed lysis of 95% of the trypomastigote forms of T. cruzi and the red blood cells remained normal. |
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Keywords: | Aspergillus fumigatus Trypanocidal activity Trypanosoma cruzi Neural networks Modeling |
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