collaborators

5 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…

physics.chem-ph2026

Lewis-labeled graphs: curly arrows and fishhooks as executable electron transfers

Tieu-Long Phan

The curly-arrow formalism is the lingua franca of organic reaction mechanisms, but it is not executable. Molecular graphs used in rule-based modeling encode atomic connectivity whi…

q-bio.QM2026

ProDock: From multi-target consensus docking into database-backed storage

Tieu-Long Phan, Lai Hoang Son Le, Thanh-An Pham +3

Protein--ligand docking is widely used in structure-based discovery, but routine studies often fail at the workflow level rather than at the scoring level. Receptor cleaning, ligan…

cs.LG2026

SynRXN: An Open Benchmark and Curated Dataset for Computational Reaction Modeling

Tieu-Long Phan, Nhu-Ngoc Nguyen Song, Peter F. Stadler

We present SynRXN, a unified benchmarking framework and open-data resource for computer-aided synthesis planning (CASP). SynRXN decomposes end-to-end synthesis planning into five t…

cs.LG2025

Prime Implicant Explanations for Reaction Feasibility Prediction

Klaus Weinbauer, Tieu-Long Phan, Peter F. Stadler +2

Machine learning models that predict the feasibility of chemical reactions have become central to automated synthesis planning. Despite their predictive success, these models often…