Jui-Hua Hsieh - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Establishment of extensive artificial intelligence models for kinase inhibitor prediction: Identification of novel PDGFRB inhibitorsSsu-Ting Lien, Tony Eight Lin, Jui-Hua Hsieh, Tzu-Ying Sung, Jun-Hong Chen, Kai-Cheng Hsu. cbm, 156:106722, April 2023. [doi]

2020

Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor AgonistsJie Xia, Zhenyi Wang, Yi Huan, Wenjie Xue, Xing Wang, Yuxi Wang, Zhenming Liu, Jui-Hua Hsieh, Liangren Zhang, Song Wu, Zhufang Shen, Hongmin Zhang, Xiang Simon Wang. jcisd, 60(3):1202-1214, 2020. [doi]

2017

The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual ScreeningJie Xia, Jui-Hua Hsieh, Huabin Hu, Song Wu, Xiang Simon Wang. jcisd, 57(6):1414-1425, June 2017. [doi]

2012

Cheminformatics Meets Molecular Mechanics: A Combined Application of Knowledge-Based Pose Scoring and Physical Force Field-Based Hit Scoring Functions Improves the Accuracy of Structure-Based Virtual ScreeningJui-Hua Hsieh, Shuangye Yin, Xiang S. Wang, Shubin Liu, Nikolay V. Dokholyan, Alexander Tropsha. jcisd, 52(1):16-28, 2012. [doi]

2011

Cheminformatics Approaches to Structure Based Virtual Screening: Methodology Development and ApplicationsJui-Hua Hsieh. PhD thesis, University of North Carolina, Chapel Hill, USA, 2011. [doi]

Combined Application of Cheminformatics- and Physical Force Field-Based Scoring Functions Improves Binding Affinity Prediction for CSAR Data SetsJui-Hua Hsieh, Shuangye Yin, Shubin Liu, Alexander Sedykh, Nikolay V. Dokholyan, Alexander Tropsha. jcisd, 51(9):2027-2035, 2011. [doi]

2008

k NN QSAR modeling and application of the QSAR classifier to virtual screeningJui-Hua Hsieh, Xiang S. Wang, Denise G. Teotico, Alexander Golbraikh, Alexander Tropsha. jcamd, 22(9):593-609, 2008. [doi]

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