Ángel Goñi‐Moreno

This paper introduces a method to control cellular context through tunable growth regulation, enabling precise tuning of genetic circuit behavior and classification of circuit responses.

This paper designs genetic networks for stochastic and probabilistic computing in living cells, introducing concepts like bit-streams and p-bits to better model biological information processing.

This study constructs a synthetic microbial consortium of Pseudomonas putida strains for lignocellulosic disaccharide processing using reciprocal substrate processing and demonstrates how extrinsic factors can optimize growth.

The paper evaluates NOT logic circuits in Pseudomonas protegens Pf-5, revealing faster state transitions and providing tools for environmental synthetic biology.

This study reprograms genetic circuits in bacteria by spatially positioning circuit components to optimize performance and enable new functions without altering DNA sequences.

The paper introduces a network-based method to represent genetic circuit designs, enabling better visualization and integration with other biological networks.

This paper designs a hybrid genetic and electrogenetic toggle switch and identifies conditions for bistability through computational simulations.

The paper characterizes 20 genetic NOT inverters across 7 bacterial contexts, showing context-dependent behaviors that enhance circuit compatibility and interoperability in synthetic biology.

The paper describes a broad host range inverter package for genetic circuit design in Gram-negative bacteria, showing its functionality in Pseudomonas putida and portability across species.

The paper demonstrates how the SBOL standard can represent multicellular biological systems, enabling better sharing of complex designs across multiple cells.

FlowScatt removes volume-dependency in flow cytometry fluorescence measurements by recalculating fluorescence based on scattering-derived cell volume.

This paper models co-translational dimerization to enable tunable nonlinearity in synthetic gene circuits.

The paper designs a digitalizer module to suppress basal transcription in Gram-negative bacteria, enabling all-or-nothing gene expression, and validates it in E. coli and Pseudomonas putida.

The paper develops a model that incorporates spatial constraints in bacterial gene regulatory circuits to predict output levels based on physical distances between DNA components.

This paper describes a method for task switching in engineered bacteria using plasmid copy number manipulation and presents computational simulations of the model.

The paper introduces SBOL-OWL, an ontology that enables machine-readable semantic representation of synthetic genetic circuits, enhancing computational tools' ability to understand and validate designs.