title: Recognition of culture state using two-dimensional gel electrophoresis with an artificial neural network.
abstract: Proteomic technologies were applied to the examination of nutrient components in culture broth. In bioprocesses, many types of media have been proposed and used on the commercial scale. Natural nutrients, the chemical components of which cannot be identified completely, are often used in fermentation processes such as in the production of baker's yeast, alcoholic beverages, amino acids, and pharmaceuticals. The catabolic activities of the microorganisms in these processes vary with the species used. We used an artificial neural network (ANN) to recognize the sufficiency of chemical elements based on the protein spots resolved in 2-DE, and we evaluated this technique using the leave-one-out method. We also attempted to reduce the number of input data for spot selection based on sensitivity analysis of the ANN, and the selected data were used to improve accuracy.
authors.affiliation: Department of Biotechnology, Osaka University, Osaka, Japan.
authors.forename: Naoki
authors.initials: N
authors.lastname: Izawa
authors.forename: Michimasa
authors.initials: M
authors.lastname: Kishimoto
authors.forename: Masaaki
authors.initials: M
authors.lastname: Konishi
authors.forename: Takeshi
authors.initials: T
authors.lastname: Omasa
authors.forename: Suteaki
authors.initials: S
authors.lastname: Shioya
authors.forename: Hisao
authors.initials: H
authors.lastname: Ohtake
mesh_terms: D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D004926:Escherichia coli / Q000378:metabolism; D007091:Image Processing, Computer-Assisted; D007525:Isoelectric Focusing; D016571:Neural Networks, Computer; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization