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Journal Articles
- 2024
[j5]Tuan Vinh
, Loc Nguyen, Quang H. Trinh, Thanh-Hoang Nguyen-Vo, Binh P. Nguyen:
Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks. J. Chem. Inf. Model. 64(6): 1816-1827 (2024)- [j4]Long D. Nguyen, Quang H. Nguyen, Quang H. Trinh, Binh P. Nguyen:
From SMILES to Enhanced Molecular Property Prediction: A Unified Multimodal Framework with Predicted 3D Conformers and Contrastive Learning Techniques. J. Chem. Inf. Model. 64(24): 9173-9195 (2024) - 2022
- [j3]Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Loc Nguyen, Trang T. T. Do, Matthew Chin Heng Chua, Binh P. Nguyen:
Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers. J. Chem. Inf. Model. 62(21): 5050-5058 (2022) - [j2]Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Loc Nguyen, Phuong-Uyen Nguyen-Hoang, Thien-Ngan Nguyen, Dung T. Nguyen, Binh P. Nguyen, Ly Le:
iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding. J. Chem. Inf. Model. 62(21): 5059-5068 (2022) - [j1]Loc Nguyen, Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Bach Hoai Nguyen, Phuong-Uyen Nguyen-Hoang, Ly Le, Binh P. Nguyen:
iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. J. Chem. Inf. Model. 62(21): 5080-5089 (2022)
Conference and Workshop Papers
- 2023
- [c1]Binh P. Nguyen, Thanh-Hoang Nguyen-Vo, Loc Nguyen, Quang H. Trinh, Chalinor Baliuag, Trang T. T. Do, Susanto Rahardja:
iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features. SSP 2023: 374-377
Coauthor Index
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