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Van-Thinh To

Showing results (1-10 of 7) with videos related to

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RSC Advances|May 6, 2024
Novel machine learning approach toward classification model of HIV-1 integrase inhibitorsTieu-Long Phan, The-Chuong Trinh, Van-Thinh To, et al.
Journal of Chemical Information and Modeling|September 8, 2025
KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property PredictionsVan-Thinh To, Phuoc-Chung Van Nguyen, Gia-Bao Truong, et al.
Journal of Cheminformatics|April 23, 2026
ProQSAR: A modular and reproducible framework for small-data QSAR modeling with fit-and-use modelsTuyet-Minh Phan, Tieu-Long Phan, Phuoc-Chung Van-Nguyen, et al.
ACS Omega|December 2, 2024
Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient AscentGia-Bao Truong, Thanh-An Pham, Van-Thinh To, et al.
Journal of Computer-Aided Molecular Design|September 15, 2025
Synergy of advanced machine learning and deep neural networks with consensus molecular docking for virtual screening of anaplastic lymphoma kinase inhibitorsThe-Chuong Trinh, Tieu-Long Phan, Van-Thinh To, et al.
Future Medicinal Chemistry|September 4, 2024
Innovative virtual screening of PD-L1 inhibitors: the synergy of molecular similarity, neural networks and GNINA dockingVan-Thinh To, Tieu-Long Phan, Bao-Vy Ngoc Doan, et al.
Frontiers in Chemistry|May 1, 2024
Integration of the Butina algorithm and ensemble learning strategies for the advancement of a pharmacophore ligand-based model: an <i>in silico</i> investigation of apelin agonistsXuan-Truc Dinh Tran, Tieu-Long Phan, Van-Thinh To, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
RSC Advances|May 6, 2024
Novel machine learning approach toward classification model of HIV-1 integrase inhibitorsTieu-Long Phan, The-Chuong Trinh, Van-Thinh To, et al.
Journal of Chemical Information and Modeling|September 8, 2025
KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property PredictionsVan-Thinh To, Phuoc-Chung Van Nguyen, Gia-Bao Truong, et al.
Journal of Cheminformatics|April 23, 2026
ProQSAR: A modular and reproducible framework for small-data QSAR modeling with fit-and-use modelsTuyet-Minh Phan, Tieu-Long Phan, Phuoc-Chung Van-Nguyen, et al.
ACS Omega|December 2, 2024
Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient AscentGia-Bao Truong, Thanh-An Pham, Van-Thinh To, et al.
Journal of Computer-Aided Molecular Design|September 15, 2025
Synergy of advanced machine learning and deep neural networks with consensus molecular docking for virtual screening of anaplastic lymphoma kinase inhibitorsThe-Chuong Trinh, Tieu-Long Phan, Van-Thinh To, et al.
Future Medicinal Chemistry|September 4, 2024
Innovative virtual screening of PD-L1 inhibitors: the synergy of molecular similarity, neural networks and GNINA dockingVan-Thinh To, Tieu-Long Phan, Bao-Vy Ngoc Doan, et al.
Frontiers in Chemistry|May 1, 2024
Integration of the Butina algorithm and ensemble learning strategies for the advancement of a pharmacophore ligand-based model: an <i>in silico</i> investigation of apelin agonistsXuan-Truc Dinh Tran, Tieu-Long Phan, Van-Thinh To, et al.
Pageof 1