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Guixia Liu

Showing results (91-100 of 337) with videos related to

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Toxicological Sciences : an Official Journal of the Society of Toxicology|June 13, 2018
Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity RiskHongbin Yang, Lixia Sun, Weihua Li, et al.
International Journal of Molecular Sciences|January 22, 2021
Prediction of Protein-ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM AlgorithmJiazhi Song, Guixia Liu, Jingqing Jiang, et al.
Organic Letters|January 18, 2011
Organocatalytic enantioselective Friedel-crafts reactions of 1-naphthols with aldiminesGuixia Liu, Shilei Zhang, Hao Li, et al.
Physical Chemistry Chemical Physics : PCCP|September 23, 2015
Tunable photoluminescence and magnetic properties of Dy(3+) and Eu(3+) doped GdVO4 multifunctional phosphorsYanxia Liu, Guixia Liu, Xiangting Dong, et al.
Journal of Molecular Modeling|April 26, 2013
Computational insights into the binding modes of Sr-Rex with cofactor NADH/NAD+ and operator DNAYanyan Chu, Weihua Li, Jianfeng Wang, et al.
Physical Chemistry Chemical Physics : PCCP|July 19, 2016
Dual-mode, tunable color, enhanced upconversion luminescence and magnetism of multifunctional BaGdF5:Ln(3+) (Ln = Yb/Er/Eu) nanophosphorsHonglan Li, Guixia Liu, Jinxian Wang, et al.
Journal of the American Chemical Society|September 30, 2021
Site-Selective Acceptorless Dehydrogenation of Aliphatics Enabled by Organophotoredox/Cobalt Dual CatalysisMin-Jie Zhou, Lei Zhang, Guixia Liu, et al.
Journal of Molecular Modeling|January 5, 2011
Insights into binding modes of 5-HT2c receptor antagonists with ligand-based and receptor-based methodsChunhua Lu, Fangfang Jin, Cui Li, et al.
Briefings in Bioinformatics|August 28, 2025
BBANsh: a deep learning architecture based on BERT and bilinear attention networks to identify potent shRNAYuanting Chen, Long Chen, Xinxin Yu, et al.
Briefings in Bioinformatics|August 23, 2022
Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screeningJiye Wang, Chaofeng Lou, Guixia Liu, et al.
Pageof 34

Showing results (91-100 of 337) with videos related to

Sort By:
Pageof 34
Toxicological Sciences : an Official Journal of the Society of Toxicology|June 13, 2018
Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity RiskHongbin Yang, Lixia Sun, Weihua Li, et al.
International Journal of Molecular Sciences|January 22, 2021
Prediction of Protein-ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM AlgorithmJiazhi Song, Guixia Liu, Jingqing Jiang, et al.
Organic Letters|January 18, 2011
Organocatalytic enantioselective Friedel-crafts reactions of 1-naphthols with aldiminesGuixia Liu, Shilei Zhang, Hao Li, et al.
Physical Chemistry Chemical Physics : PCCP|September 23, 2015
Tunable photoluminescence and magnetic properties of Dy(3+) and Eu(3+) doped GdVO4 multifunctional phosphorsYanxia Liu, Guixia Liu, Xiangting Dong, et al.
Journal of Molecular Modeling|April 26, 2013
Computational insights into the binding modes of Sr-Rex with cofactor NADH/NAD+ and operator DNAYanyan Chu, Weihua Li, Jianfeng Wang, et al.
Physical Chemistry Chemical Physics : PCCP|July 19, 2016
Dual-mode, tunable color, enhanced upconversion luminescence and magnetism of multifunctional BaGdF5:Ln(3+) (Ln = Yb/Er/Eu) nanophosphorsHonglan Li, Guixia Liu, Jinxian Wang, et al.
Journal of the American Chemical Society|September 30, 2021
Site-Selective Acceptorless Dehydrogenation of Aliphatics Enabled by Organophotoredox/Cobalt Dual CatalysisMin-Jie Zhou, Lei Zhang, Guixia Liu, et al.
Journal of Molecular Modeling|January 5, 2011
Insights into binding modes of 5-HT2c receptor antagonists with ligand-based and receptor-based methodsChunhua Lu, Fangfang Jin, Cui Li, et al.
Briefings in Bioinformatics|August 28, 2025
BBANsh: a deep learning architecture based on BERT and bilinear attention networks to identify potent shRNAYuanting Chen, Long Chen, Xinxin Yu, et al.
Briefings in Bioinformatics|August 23, 2022
Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screeningJiye Wang, Chaofeng Lou, Guixia Liu, et al.
Pageof 34