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Chemometric Approach to Prediction of Antibacterial Agent Production by Streptomyces hygroscopicus

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Abstract

The nutritional requirements for antimicrobial agent production using Streptomyces hygroscopicus were analyzed in shake flask experiments. Antimicrobial activity was tested against Staphylococcus aureus and Bacillus cereus. The mathematical models have been generated with relative high complexity in order to give an adequate fit to the data. All the results suggest a high dependence of produced antimicrobial agent quantities on the amount of carbon, nitrogen, and phosphorus in cultivation medium. The statistical results of the generated models reflect the high predictive ability. The derived models were validated using leave-one-out cross-validation technique, and from statistical point of view, they have significantly high values of the cross-validation parameters.

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Acknowledgments

This work was financially supported by the Provincial Secretariat for Science and Technological Development, Autonomous Province of Vojvodina, Project Number: 114-451-5041/2013 and the research projects No. 172012 and No. 172014 supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.

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Correspondence to Strahinja Kovačević.

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Dodić, J., Grahovac, J., Kalajdžija, N. et al. Chemometric Approach to Prediction of Antibacterial Agent Production by Streptomyces hygroscopicus . Appl Biochem Biotechnol 174, 534–541 (2014). https://doi.org/10.1007/s12010-014-1115-8

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  • DOI: https://doi.org/10.1007/s12010-014-1115-8

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