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Domitilla Del Vecchio

Researcher at Massachusetts Institute of Technology

Publications -  245
Citations -  6554

Domitilla Del Vecchio is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Synthetic biology. The author has an hindex of 39, co-authored 224 publications receiving 5587 citations. Previous affiliations of Domitilla Del Vecchio include University of Rome Tor Vergata & University of Michigan.

Papers
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Journal ArticleDOI

Modular cell biology: retroactivity and insulation.

TL;DR: Here, the effect of interconnections on the input–output dynamic characteristics of transcriptional components are studied, focusing on a property, which is called ‘retroactivity’, that plays a role analogous to non‐zero output impedance in electrical systems.
Journal ArticleDOI

Cooperative Collision Avoidance at Intersections: Algorithms and Experiments

TL;DR: This work provides an experimental validation of the formal control theoretic methods to guarantee a collision-free (safe) system, whereas overrides are only applied when necessary to prevent a crash.
Journal ArticleDOI

Control theory meets synthetic biology.

TL;DR: This review presents an organized summary of how control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells, and success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations.
Journal ArticleDOI

Resource Competition Shapes the Response of Genetic Circuits.

TL;DR: A general Hill-function-based model is developed that incorporates resource competition effects through resource demand coefficients that lead to nonregulatory interactions among genes that reshape the circuit's behavior and a model-guided methodology to minimize the resulting effects.
Book

Biomolecular Feedback Systems

TL;DR: The book under review provides an introduction to the principles and tools required for modelling and analysing bimolecular systems and illustrates the use of feedback and control to ensure the correct operating behaviour of more complex devices obtained by connecting simple systems.