Computational Systems Biology
At the Lobo Lab we are interested in understanding, controlling, and designing the dynamic regulatory mechanisms that direct complex biological processes. We develop new computational systems that can generate models, hypothesis, and theory from experimental data — automatically. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.
- New paper presenting the computational discovery and in vivo validation of a novel regulatory gene in planarian regeneration published in Bioinformatics.
- The Lobo Lab present at SURF! Congratulations to Junaid and Abraar for being selected to give an oral presentation, and Caroline, Samantha, Mark, and Mikhail for presenting posters!
- New paper investigating the computations performed by the planarian worms during regeneration and how to reverse-engineer them published in a Springer book.
We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.
We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.
We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.
We study how shapes and patterns are form from a single cell during development and restored through regeneration.
We seek to understand why and how regulatory mechanism go awry to produce cancer and other diseases.
We design novel regulatory networks with desired dynamics and useful behaviors and functions to solve specific bioengineering problems.