M. A. Valderrama-Gomez

This paper introduces a phenotype-centric modeling approach for metabolic engineering, demonstrating its ability to identify beneficial interventions and propose improved strains for the amorphadiene biosynthetic network.

The paper introduces a theoretical framework to predict phenotype diversity distributions and mutation rates using Systems Design Space methods, applied to a primordial circadian clock system.

TaxisPy is a Python-based software for analyzing bacterial chemotaxis, estimating average tumbling frequency from video data and demonstrating its use on Pseudomonas putida and Escherichia coli.