NetBio group
quantitative research at the interface of network dynamics and synthetic biology
Research at the BioNet group is characterized by the duality of quantitative theory and experiments. Here you will find a brief and high-level description of current projects. If you are interested in the details, feel free to send an email to Andras. For past projects, please refer to the publications.

Cell-free system

Executable TX-TL DNA programs, without the issues caused by host-circuit interactions

Possible to predict the co-expression of multiple proteins in a quantitatively precise manner

Which are the best experiments?

Provided with a limited number of possible experiments, what is the optimal combination to learn the most about the system?

How to ID extracts and parts?

Can we identify extract and part parameters separately? Could we use this to classify extracts as best suited for X, but not for Y?

Can we standardize extracts?

If we can identify extract parameters, can we reduce extract variability? Can we predict part behavior across different extracts?

Can we predict in vivo behavior?

Based on measurements in vivo, how will parts/systems behave in living organisms? Or vice versa?

Pattern formation over networks

Patterning is central in countless disciplines, ranging from biology and engineering to sociology and political science

Possible to predict the emergence of patterns even in systems with multiple layers of communication channels

What patterns will emerge?

Not all patterns are stable. What are the patterns that will eventually emerge, and what are the ones that will disappear?

How likely that a pattern will emerge?

Not all patterns are equally likely to emerge. What are the patterns that we will most likely see?

Will we see clusters?

Will locally synchronized patterns emerge, especially over networks with multiple layers of communication channels?

What if modules are different?

How to study patterning if modules are non-identical? Can we infer the type of each module based on emergent patterns?

NetBio group at New York University Abu Dhabi