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SCEJ 91st Annual Meeting
Mar. 17 (Tue) - 19 (Thu), 2026
Yoshida Campus, Kyoto University
Japanese page
Most recent update: 2026-02-11 21:14:01
 The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| AlphaFold2 | 1 |  | |
| NADPH | 1 | | |
| E.coli | 1 | | |
| affinity maturation | 1 | | |
| Transcription factor | 1 | | |
| Eschierichia coli | 1 | | |
| Enzyme | 1 | | |
| Formaldehyde | 1 | | |
| AlphaFold | 1 | | |
| ProteinMPNN | 1 | | |
| Metabolic Engineering | 1 | | |
| antibody | 1 | | |
| Deep learning | 1 | | |
| sensor | 1 | | |
| Formate | 1 | | |
| Glycolysis | 1 | | |
| Machine Learning | 1 | | |
| Software | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 126 | Enhancing Antigen-Antibody Interaction Using AI and Computational Simulations | antibody AlphaFold2 affinity maturation | P |
| 238 | Evaluation of metabolic state and its cellular heterogeneity based on transcription factor activity | Eschierichia coli Glycolysis Transcription factor | O |
| 599 | EZSCAN as a method for identifying residues that determine enzyme molecular recognition | Enzyme Software Machine Learning | O |
| 634 | Engineering of Escherichia coli for assimilation of formate and formaldehyde and its metabolic evaluation | Metabolic Engineering Formaldehyde Formate | P |
| 635 | Development of the mBFP sensor for comparing NADPH levels of different Escherichia coli strains | E.coli NADPH sensor | P |
| 728 | Strategy for tuning the functional properties of a hyperthermophilic esterase using deep learning-assisted protein engineering | Deep learning ProteinMPNN AlphaFold | O |
Organizing Committee of SCEJ 91st Annual Meeting (2026)
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