John C. Doyle

The paper develops a dynamical model showing that increased cell proliferation can suppress neoplasia through high-flux proofreading, supported by experimental tests in moon jellies.

This work introduces log derivatives to analyze and design biomolecular circuits for robust stability and control through structural properties.

This study uses control theory to model SARS-CoV-2 immune responses, identifying two mechanisms that explain virulence and transmission variation across hosts.

This paper shows that coupling in reaction networks can suppress noise below a previously established lower bound with moderate energy cost.

The paper applies control theory to analyze and design sequestration feedback circuits, showing how to characterize their performance and tradeoffs.

This paper investigates the challenges of achieving robust perfect adaptation in biomolecular systems and shows how integral feedback control can be implemented through network architecture rather than direct dynamics.

The paper analyzes sequestration feedback systems using control theory to identify performance limits and tradeoffs in biological feedback mechanisms.