Sergio Garcia

The paper introduces GeCCo to identify gene targets for high ionic liquid tolerance in Y. lipolytica and finds that GeCCo-selected genes, BRN1 and OYE2, enhance tolerance when overexpressed.

This study introduces ModCell-HPC, a computational method for designing modular cells capable of producing large libraries of chemicals, demonstrating its effectiveness in generating E. coli strains for 161 endogenous modules.

This study develops a genome-scale metabolic model for Clostridium thermocellum and applies it to integrate multi-omics data and design strains for biofuel and biochemical production.

This paper uses goal attainment optimization to design a modular chassis cell for efficient production of diverse products through metabolic engineering.

This study engineers a thermostable chloramphenicol acetyltransferase to enable isobutyl acetate production from cellulose by Clostridium thermocellum at elevated temperatures.

This study compares multi-objective evolutionary algorithms for modular cell design in biocatalysis, finding that real-world performance differs from artificial benchmarks and identifying effective parameter configurations.

This paper introduces MODCELL, a modular cell engineering framework validated experimentally to enhance strain design for biochemical production by coupling modular chassis cells with exchangeable production modules.