activity
20242026
collaborators

6 papers

q-bio.MN2026

On the realizability of abstract reaction networks with real molecules and reactions

Tuyet-Minh Phan, Daniel Merkle, Tieu-Long Phan +2

Abstract reaction networks appear not only as models of chemical reactions but also as models of complex systems, with applications in areas such as ecology and epidemiology, and a…

q-bio.MN2025

Rule-Based Gillespie Simulation of Chemical Systems

Erika M. Herrera Machado, Jakob L. Andersen, Rolf Fagerberg +3

The MØD computational framework implements rule-based generative chemistries as explicit transformations of graphs representing chemical structural formulae. Here, we expand MØD by…

q-bio.MN2025

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming

Adittya Pal, Rolf Fagerberg, Jakob Lykke Andersen +3

The search for pathways that optimize the formation of a particular target molecule in a reaction network is a key problem in many settings, including reactor systems. Chemical rea…

cs.DM2025

Assembly in Directed Hypergraphs

Christoph Flamm, Daniel Merkle, Peter F. Stadler

Assembly theory has received considerable attention in the recent past. Here we analyze the formal framework of this model and show that assembly pathways coincide with certain min…

q-bio.MN2024

Pathway Realisability in Chemical Networks

Jakob L. Andersen, Sissel Banke, Rolf Fagerberg +3

The exploration of pathways and alternative pathways that have a specific function is of interest in numerous chemical contexts. A framework for specifying and searching for pathwa…

cs.DM2024

Automated Inference of Graph Transformation Rules

Jakob L. Andersen, Akbar Davoodi, Rolf Fagerberg +8

The explosion of data available in life sciences is fueling an increasing demand for expressive models and computational methods. Graph transformation is a model for dynamic system…