Experiencias en la aplicación de la minería de datos en la industria biofarmacéutica cubana

Osvaldo Gozá-León; Arturo Toledo-Rivero

Osvaldo Gozá-León Facultad Ingeniería Química, Universidad Tecnológica de La Habana (CUJAE), Cuba https://orcid.org/0000-0002-1426-5910
Arturo Toledo-Rivero Centro de Inmunología Molecular (CIM), La Habana, Cuba

Keywords: principal component analysis; fermentation; data mining; chromatographic purification;neural networks.

Abstract

The Center of Molecular Immunology is an exponent of Cuban biotechnology institution dedicated to basic research, development, production and commercialization of biopharmaceuticals, with the aim of diagnosing and treating cancer and diseases related to the immune system. In this work, a bibliographic synthesis of research that was carried out in this center in the period from 2012 to 2018, was performed, with the purpose of analyzing the application of some Data Mining techniques in the evaluation of fermentation and purification stages of the process for obtaining biopharmaceuticals in three production facilities. The phases of Data Mining were characterized and the practical implication of the results was presented. Principal Components Analysis was applied as a descriptive model using THE UNSCRAMBLER software, and Artificial Neural Networks were applied as a predictive model using the MATLAB neural networks toolbox. The use of these models made it possible to extract useful information for decision making, thereby explaining the behavior of the parameters that influence the quality of the final product, as well as estimating important variables such as the concentration of the protein of interest in the fermentation supernatant and the performance of the purification stage, depending on the process variables that have the greatest influence on its behavior.

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Experiences in the application of data mining in the Cuban biopharmaceutical industry

Abstract

References