title: Use of uniform designs in combination with neural networks for viral infection process development.
abstract: This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks with respect to classical factorial designs in bioprocess, using as example the rabies virus replication in BHK-21 cells. The viral infection process parameters under study were temperature (34°C, 37°C), multiplicity of infection (0.04, 0.07, 0.1), times of infection, and harvest (24, 48, 72 hours) and the monitored output parameter was viral production. A multilevel factorial experimental design was performed for the study of this system. Fractions of this experimental approach (18, 24, 30, 36 and 42 runs), defined according uniform designs, were used as alternative for modelling through artificial neural network and thereafter an output variable optimization was carried out by means of genetic algorithm methodology. Model prediction capacities for all uniform design approaches under study were better than that found for classical factorial design approach. It was demonstrated that uniform design in combination with artificial neural network could be an efficient experimental approach for modelling complex bioprocess like viral production. For the present study case, 67% of experimental resources were saved when compared to a classical factorial design approach. In the near future, this strategy could replace the established factorial designs used in the bioprocess development activities performed within biopharmaceutical organizations because of the improvements gained in the economics of experimentation that do not sacrifice the quality of decisions.
authors: Departamento de Ciências Biológicas, Universidade Estadual "Júlio de Mesquita Filho" Campus-Assis, Avenida Dom Antonio 2100, 19806-900, Assis, SP-Brasil.
authors: Laís Hara
authors: LH
authors: Buenno
authors: José Celso
authors: JC
authors: Rocha
authors: Jaci
authors: J
authors: Leme
authors: Celso Pereira
authors: CP
authors: Caricati
authors: Aldo
authors: A
authors: Tonso
authors: Eutimio Gustavo
authors: EG
authors: Fernández Núñez
mesh_terms: D000818:Animals; D001709:Biotechnology / Q000379:methods*; D002460:Cell Line; D006224:Cricetinae; D016571:Neural Networks, Computer; D011820:Rabies virus / Q000302:isolation & purification / Q000502:physiology; D012107:Research Design; D014776:Virus Cultivation / Q000379:methods*; D014779:Virus Replication / Q000502:physiology*
keywords: artificial neural network; bioprocess; experimental design; rabies virus; uniform design; viral infection