AIMC Topic: Corynebacterium glutamicum

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High cell density cultivation of Corynebacterium glutamicum by deep learning-assisted medium design and the subsequent feeding strategy.

Journal of bioscience and bioengineering Mar 2, 2024
To improve the cell productivity of Corynebacterium glutamicum, its initial specific growth rate was improved by medium improvement using deep neural network (DNN)-assisted design with Bayesian optimization (BO) and a genetic algorithm (GA). To obtai...
Deep Learning Bayes Theorem Cell Count Magnesium Glucose Corynebacterium glutamicum
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Robotic integration enables autonomous operation of laboratory scale stirred tank bioreactors with model-driven process analysis.

Biotechnology and bioengineering May 3, 2021
Given its geometric similarity to large-scale production plants and the excellent possibilities for precise process control and monitoring, the classic stirred tank bioreactor (STR) still represents the gold standard for bioprocess development at a l...
Automation, Laboratory Robotics Bioreactors Models, Biological Laboratories Corynebacterium glutamicum
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Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

Analytical biochemistry May 16, 2016
As one important post-translational modification of prokaryotic proteins, pupylation plays a key role in regulating various biological processes. The accurate identification of pupylation sites is crucial for understanding the underlying mechanisms o...
Algorithms Support Vector Machine Protein Processing, Post-Translational Bacterial Proteins Rhodococcus Corynebacterium glutamicum
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