Gleb Kuznetsov

This paper explores using supervised learning with DNA synthesis and high-throughput screening to improve protein design, demonstrating generalization to unseen fitness landscape regions.

The paper presents a method combining multiplex genome engineering and predictive modeling to identify minimal genomic modifications that optimize a complex phenotype in E. coli.

Millstone is a web-based platform for microbial genome analysis and engineering that automates genotype comparison and visualization for projects with up to hundreds of genomic samples.

The paper replaces rare arginine codons in E. coli with synonymous alternatives, identifying rules for codon choice based on mRNA structure and ribosomal binding motifs.