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The-Chuong Trinh

Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction
2025 · The-Chuong Trinh, Pierre Falson, et al. · Journal of Chemical Information and Modeling · 7
Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent
2024 · Gia-Bao Truong, Thanh-An Pham, et al. · ACS Omega · 3
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Synergy of advanced machine learning and deep neural networks with consensus molecular docking for virtual screening of anaplastic lymphoma kinase inhibitors
2025 · The-Chuong Trinh, Tieu-Long Phan, et al. · Journal of Computer-Aided Molecular Design · 2
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A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models
2023 · The-Chuong Trinh, Tieu-Long Phan, et al. · International Conference on Knowledge and Systems Engineering/Proceedings · 2
Innovative virtual screening of PD-L1 inhibitors: the synergy of molecular similarity, neural networks and GNINA docking
2024 · Van-Thinh To, Tieu-Long Phan, et al. · Future Medicinal Chemistry · 1
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Hackathon on predictive modelling in systems pharmacology: design, implementation, and outcomes
2026 · Malvina Marku, The-Chuong Trinh, et al. · F1000Research
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A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohorts
2026 · The-Chuong Trinh, Jean-Baptiste Woillard, et al. · bioRxiv (Cold Spring Harbor Laboratory)
A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohorts
2026 · Trinh, The-Chuong, Woillard, Jean-Baptiste, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 8
Citation count: 15
H-index: 2
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