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Phuoc-Chung Van Nguyen

Nhà nghiên cứu Hồ sơ 6/10

14 công bố · 28 trích dẫn · h-index 3

Thông tin

🏛️Nơi công tác: Đại học Y Dược TP.HCM
🔬Lĩnh vực: Dược học
🆔ORCID: 0009-0000-1825-2781
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

Novel machine learning approach toward classification model of HIV-1 integrase inhibitors10 trích dẫn
RSC Advances · 2024 · DOI

KGG : Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions9 trích dẫn
Journal of Chemical Information and Modeling · 2025 · DOI

Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent3 trích dẫn
ACS Omega · 2024 · DOI

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models2 trích dẫn
· 2023 · DOI

Innovative virtual screening of PD-L1 inhibitors: the synergy of molecular similarity, neural networks and GNINA docking1 trích dẫn
Future Medicinal Chemistry · 2024 · DOI

Innovative Virtual Screening of PD-L1 Inhibitors: The Synergy of Molecular Similarity, Neural Networks, and GNINA Docking1 trích dẫn
ChemRxiv · 2024 · DOI

SynCat: molecule-level attention graph neural network for precise reaction classification1 trích dẫn
Digital Discovery · 2025 · DOI

Novel machine learning approach toward classification model of HIV-1 integrase inhibitors1 trích dẫn
ChemRxiv · 2024 · DOI

SynCat: A light weight graph neural network model to classify chemical reactions1 trích dẫn
ChemRxiv · 2025 · DOI

Rank-Resolved Multi-Engine Docking and Optuna-Optimized Re-Ranking with ProDock for Virtual Screening
bioRxiv (Cold Spring Harbor Laboratory) · 2026 · DOI

Về lĩnh vực Dược học

1.174học giả

16.750công bố

196.254trích dẫn

4.2h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Natural product bioactivities and synthesisEssential Oils and Antimicrobial ActivityPhytochemistry and Biological ActivitiesPhytochemicals and Antioxidant ActivitiesComputational Drug Discovery MethodsMicrobial Natural Products and Biosynthesis

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