The keywords that frequently used in this topics code.
| Toya Yoshihiro (Osaka Univ.) |
Information technology has become an important role for accelerating the studies in biochemical engineering. In this symposium, we would like to discuss some of the key technologies for our future studies.
Most recent update: 2022-01-31 16:50:01
| The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| 13C-metabolic flux analysis | 1 | | |
| Bioimaging | 1 | | |
| Metabolic engineering | 1 | | |
| Computer | 1 | | |
| Cell culture | 1 | | |
| Digital formation | 1 | | |
| Bioinformatics | 1 | | |
| Genome scale metabolic reaction model | 1 | | |
| bioprocess | 1 | | |
| Adaptive laboratory evolution | 1 | | |
| Quality by design | 1 | | |
| drug discovery | 1 | | |
| machine learning | 1 | | |
| Diabetes | 1 | | |
| fermentation | 1 | | |
| Flux balance analysis | 1 | | |
| Transcriptome | 1 | | |
| Cyanobacteria | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 5 | Computational model of human metabolism and its application to drug development | Computer Diabetes drug discovery | O |
| 119 | [Invited lecture] Information processing of life science data | Bioinformatics Bioimaging Transcriptome | O |
| 144 | Machine learning-mediated analysis and design for microbial growth media | machine learning fermentation bioprocess | O |
| 182 | Digital transformation in cell culture following the QbD concept | Cell culture Quality by design Digital formation | O |
| 271 | Metabolic engineering of cyanobacteria | Genome scale metabolic reaction model 13C-metabolic flux analysis Cyanobacteria | O |
| 275 | Microbial metabolic engineering for bio-productions based on in silico simulation and adaptive laboratory experiment | Flux balance analysis Metabolic engineering Adaptive laboratory evolution | O |
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