Hsieh CY - Search Results

1

ReMODE: a deep learning-based web server for target-specific drug design.

Wang M, Wang J, Weng G, Kang Y, Pan P, Li D, Deng Y, Li H, Hsieh CY, Hou T. Wang M, et al. Among authors: hsieh cy. J Cheminform. 2022 Dec 12;14(1):84. doi: 10.1186/s13321-022-00665-w. J Cheminform. 2022. PMID: 36510307 Free PMC article.

2

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.

Jiang D, Wu Z, Hsieh CY, Chen G, Liao B, Wang Z, Shen C, Cao D, Wu J, Hou T. Jiang D, et al. Among authors: hsieh cy. J Cheminform. 2021 Feb 17;13(1):12. doi: 10.1186/s13321-020-00479-8. J Cheminform. 2021. PMID: 33597034 Free PMC article.

3

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

Wu Z, Jiang D, Hsieh CY, Chen G, Liao B, Cao D, Hou T. Wu Z, et al. Among authors: hsieh cy. Brief Bioinform. 2021 Sep 2;22(5):bbab112. doi: 10.1093/bib/bbab112. Brief Bioinform. 2021. PMID: 33866354

4

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties.

Xiong G, Wu Z, Yi J, Fu L, Yang Z, Hsieh C, Yin M, Zeng X, Wu C, Lu A, Chen X, Hou T, Cao D. Xiong G, et al. Nucleic Acids Res. 2021 Jul 2;49(W1):W5-W14. doi: 10.1093/nar/gkab255. Nucleic Acids Res. 2021. PMID: 33893803 Free PMC article.

5

MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction.

Zhang XC, Wu CK, Yang ZJ, Wu ZX, Yi JC, Hsieh CY, Hou TJ, Cao DS. Zhang XC, et al. Among authors: hsieh cy. Brief Bioinform. 2021 Nov 5;22(6):bbab152. doi: 10.1093/bib/bbab152. Brief Bioinform. 2021. PMID: 33951729

6

Mining Toxicity Information from Large Amounts of Toxicity Data.

Wu Z, Jiang D, Wang J, Hsieh CY, Cao D, Hou T. Wu Z, et al. Among authors: hsieh cy. J Med Chem. 2021 May 27;64(10):6924-6936. doi: 10.1021/acs.jmedchem.1c00421. Epub 2021 May 7. J Med Chem. 2021. PMID: 33961429

7

A unified drug-target interaction prediction framework based on knowledge graph and recommendation system.

Ye Q, Hsieh CY, Yang Z, Kang Y, Chen J, Cao D, He S, Hou T. Ye Q, et al. Among authors: hsieh cy. Nat Commun. 2021 Nov 22;12(1):6775. doi: 10.1038/s41467-021-27137-3. Nat Commun. 2021. PMID: 34811351 Free PMC article.

8

InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictions.

Jiang D, Hsieh CY, Wu Z, Kang Y, Wang J, Wang E, Liao B, Shen C, Xu L, Wu J, Cao D, Hou T. Jiang D, et al. Among authors: hsieh cy. J Med Chem. 2021 Dec 23;64(24):18209-18232. doi: 10.1021/acs.jmedchem.1c01830. Epub 2021 Dec 8. J Med Chem. 2021. PMID: 34878785

9

Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.

Jiang D, Sun H, Wang J, Hsieh CY, Li Y, Wu Z, Cao D, Wu J, Hou T. Jiang D, et al. Among authors: hsieh cy. Brief Bioinform. 2022 Mar 10;23(2):bbab597. doi: 10.1093/bib/bbab597. Brief Bioinform. 2022. PMID: 35062020

10

Knowledge-based BERT: a method to extract molecular features like computational chemists.

Wu Z, Jiang D, Wang J, Zhang X, Du H, Pan L, Hsieh CY, Cao D, Hou T. Wu Z, et al. Among authors: hsieh cy. Brief Bioinform. 2022 May 13;23(3):bbac131. doi: 10.1093/bib/bbac131. Brief Bioinform. 2022. PMID: 35438145

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