Shogo Yoshimoto

This study uses AtaA to create enzymatically active surfaces through oxidative tyrosine coupling, showing trade-offs between cross-linking and adhesion.

This study characterizes central carbon metabolism in Acinetobacter sp. Tol 5 using 13C-MFA, revealing flux patterns under different carbon sources and metabolic pathways.

This study shows that gas-phase conditions activate an alternative toluene catabolic pathway in Acinetobacter sp. Tol 5, involving cresol intermediates and the mph operon.

The paper investigates metabolic changes in a toluene-degrading bacterium under gas-phase and aqueous conditions, revealing adaptations in nitrogen metabolism and lipid mobilization.

This study evaluates the desiccation tolerance of Acinetobacter sp. Tol 5 compared to other bacteria in gas-phase bioprocesses, finding it maintains viability and activity better under desiccation stress.

This study characterizes the carbon metabolism of Acinetobacter sp. Tol 5, revealing its ability to assimilate diverse hydrocarbons and aromatics through genomic and transcriptomic analysis.

This study identifies a stable complex between a trimeric autotransporter adhesin and a peptidoglycan-binding periplasmic protein, revealing structural and interaction details.

This study expresses carbonic anhydrase in Acinetobacter sp. Tol 5 to enhance CO2 conversion as a whole-cell biocatalyst, finding that periplasmic expression significantly improves activity.

This paper introduces GPIA, a method to quantify bacterial cell aggregation by analyzing microscopy images, showing it can detect changes in cell-to-cell affinity and identify regions critical for self-aggregation.

This study identifies and characterizes the toluene degradation pathway in Acinetobacter sp. Tol 5, revealing its functional TOD genes and their role in aromatic compound metabolism.

This study identifies lysine methylation in a bacterial outer membrane protein and its methyltransferase, revealing its role in bacterial adhesion and pathogenicity.

This paper develops a fast feature extraction method for SARS-CoV-2 spike sequences using amino acid physicochemical properties, achieving accurate clustering with reduced runtime compared to conventional methods.