bioRxiv preprint quantifies monomeric yield across 39,000+ proteins in E. coli
KevinKaichuang · x · 2026-11-13
A University of Tokyo team (Selena Setsu, Kaori Kiyokawa, Andy Y. W. Lam, Kotaro Tsuboyama et al.) published a bioRxiv preprint (doi: 10.64898/2026.11.02.763507) on massively parallel quantification and prediction of monomeric protein yield in E. coli. The study measures monomeric yield for over 39,000 barcoded variants spanning natural proteins, de novo designs, and nanobodies, using pooled expression, peptide isolation, and MS-based quantification with an MS conversion step to estimate absolute yield. The key finding: the sequence determinants of expression are learnable, enabling yield prediction from sequence to guide protein engineering.
Related event: Tokyo Team Quantifies Expression of 39,000 Protein Variants(2 posts)→
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