2 papers
q-bio.QM2026
GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design
Maurice Filo, Nicolò Rossi, Zhou Fang +1
Biomolecular networks underpin emerging technologies in synthetic biology-from robust biomanufacturing and metabolic engineering to smart therapeutics and cell-based diagnostics-an…
q-bio.MN2025
Realizing Reduced and Sparse Biochemical Reaction Networks from Dynamics
Maurice Filo, Mustafa Khammash
We propose a direct optimization framework for learning reduced and sparse chemical reaction networks (CRNs) from time-series trajectory data. In contrast to widely used indirect m…