Tieu-Long Phan

According to our database, Tieu-Long Phan authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Synergy of advanced machine learning and deep neural networks with consensus molecular docking for virtual screening of anaplastic lymphoma kinase inhibitors.

The-Chuong Trinh, Tieu-Long Phan, Van-Thinh To, Thanh-An Pham, Gia-Bao Truong, Hoang-Son Lai Le, Xuan-Truc Dinh Tran, Tuyen Ngoc Truong

J. Comput. Aided Mol. Des., December, 2025

Prime Implicant Explanations for Reaction Feasibility Prediction.

Klaus Weinbauer, Tieu-Long Phan, Peter F. Stadler, Thomas Gärtner, Sagar Malhotra

CoRR, October, 2025

<tt>KGG</tt>: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions.

Van-Thinh To, Phuoc-Chung van Nguyen, Gia-Bao Truong, Tuyet-Minh Phan, Tieu-Long Phan, Rolf Fagerberg, Peter F. Stadler, Tuyen Ngoc Truong

J. Chem. Inf. Model., 2025

<tt>SynTemp</tt>: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases.

Tieu-Long Phan, Klaus Weinbauer, Marcos E. González Laffitte, Yingjie Pan, Daniel Merkle, Jakob L. Andersen, Rolf Fagerberg, Christoph Flamm, Peter F. Stadler

J. Chem. Inf. Model., 2025

Extension of Partial Atom-To-Atom Maps: Uniqueness and Algorithms.

Marcos E. González Laffitte, Tieu-Long Phan, Peter F. Stadler

Proceedings of the 25th International Conference on Algorithms for Bioinformatics, 2025

2024

Reaction rebalancing: a novel approach to curating reaction databases.

Tieu-Long Phan, Klaus Weinbauer, Thomas Gärtner, Daniel Merkle, Jakob L. Andersen, Rolf Fagerberg, Peter F. Stadler

J. Cheminformatics, December, 2024

Partial Imaginary Transition State (ITS) Graphs: A Formal Framework for Research and Analysis of Atom-to-Atom Maps of Unbalanced Chemical Reactions and Their Completions.

Marcos E. González Laffitte, Klaus Weinbauer, Tieu-Long Phan, Nora Beier, Nico Domschke, Christoph Flamm, Thomas Gatter, Daniel Merkle, Peter F. Stadler

Symmetry, September, 2024

2023

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models.

The-Chuong Trinh, Tieu-Long Phan, Van-Thinh To, Gia-Bao Truong, Thanh-An Pham, Hoang-Son Lai Le, Phuoc-Chung van Nguyen, Tuyen Ngoc Truong

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023