Deepanwita Banerjee

Bottlenecks in the Implementation of Genome Scale Metabolic Model Based Designs for Bioproduction from Aromatic Carbon Sources

This study identifies fumarate hydratase activity as a bottleneck in a genome-scale metabolic model design for bioproduction from para-coumarate, requiring optimization for growth and product formation.

Sustainable production of 2,3,5,6-Tetramethylpyrazine at high titer in engineered Corynebacterium glutamicum using statistical design of experiments

This paper engineers Corynebacterium glutamicum to produce 2,3,5,6-tetramethylpyrazine (TMP) at high titer using statistical design of experiments to optimize media composition.

Ensemble and Iterative Engineering for Maximized Bioconversion to the Blue Pigment, Indigoidine from Non-Canonical Sustainable Carbon Sources

The paper develops growth-coupled microbial strains for high-yield indigoidine production using iterative engineering and computational evaluation.

Genome-scale and pathway engineering for the sustainable aviation fuel precursor isoprenol production in Pseudomonas putida

This paper engineers Pseudomonas putida for isoprenol production using computational modeling and strain optimization, achieving a titer of 3.5 g/L.

Optimizing a High Performing Multiplex-CRISPRi P. putida strain with Integrated Metabolomics and 13C-Metabolic Flux Analyses

The paper optimizes a P. putida strain for indigoidine production using 13C-MFA and metabolomics, identifying key metabolic bottlenecks and engineering improvements.

Genomics Characterization of an Engineered Corynebacterium glutamicum in Bioreactor Cultivation under Ionic Liquid Stress

The paper resequences and analyzes transcriptomic changes in an engineered C. glutamicum strain under bioreactor conditions with and without ionic liquid stress.

High Throughput Fitness Profiling Reveals Loss Of GacS-GacA Regulation Improves Indigoidine Production In Pseudomonas putida

The paper identifies gene deletions that enhance indigoidine production in Pseudomonas putida using fitness profiling and bioreactor experiments.