Ignacio Gispert

Sequestration-Based Neural Networks That Operate Out of Equilibrium

This paper designs and experimentally validates biomolecular neural networks using molecular sequestration, demonstrating their ability to function as linear classifiers in living systems.

Engineering sequestration-based biomolecular classifiers with shared resources

This paper designs sigma factor-based biomolecular classifiers and investigates how resource competition affects their performance and design principles.