Kosuke Seki

The paper discovers and engineers an orthogonal translation system using metagenomic data to expand the genetic code with non-canonical amino acids.

The paper uses deep learning to design novel protein kinase sequences with multiple mutations, measures their activity, and identifies key sequence determinants of function.

The paper develops and optimizes a one-pot NASBA-Cas13a assay for rapid, sensitive detection of SARS-CoV-2 RNA without specialized equipment.

This paper demonstrates that cell-free systems can express and characterize suppressor tRNAs for non-canonical amino acid incorporation.

This paper improves genomically recoded E. coli strains for producing proteins with non-canonical amino acids by optimizing nuclease and protease function and introducing an inducible T7 RNA polymerase cassette.