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Aixia Yan

Showing results (31-40 of 73) with videos related to

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Molecular Diversity|November 6, 2012
Using self-organizing map (SOM) and support vector machine (SVM) for classification of selectivity of ACAT inhibitorsLing Wang, Maolin Wang, Aixia Yan, et al.
Chemical Research in Toxicology|April 5, 2023
Prediction and Structure-Activity Relationship Analysis on Ready Biodegradability of Chemical Using Machine Learning MethodHongyan Yin, Cheng Lin, Yujia Tian, et al.
Drug Discovery Today|December 9, 2014
Targeting HIV-1 integrase with strand transfer inhibitorsYang Li, Shouyi Xuan, Yue Feng, et al.
Chemical Biology & Drug Design|October 18, 2023
Ligand and structure based hierarchical virtual screening cascade for finding novel epidermal growth factor receptor inhibitorsDonghui Huo, Zhiqi Sun, Maolin Wang, et al.
Chemical Research in Toxicology|April 13, 2013
Carcinogenicity prediction of noncongeneric chemicals by a support vector machineMin Zhong, Xianglei Nie, Aixia Yan, et al.
Chemical Biology & Drug Design|February 8, 2023
Prediction of bioactivities of microsomal prostaglandin E<sub>2</sub> synthase-1 inhibitors by machine learning algorithmsYujia Tian, Zhenwu Yang, Hongzhao Wang, et al.
Molecular Diversity|November 3, 2012
Discriminating of ATP competitive Src kinase inhibitors and decoys using self-organizing map and support vector machineAixia Yan, Xiaoying Hu, Kai Wang, et al.
European Journal of Medicinal Chemistry|July 17, 2012
Classification of Aurora kinase inhibitors by self-organizing map (SOM) and support vector machine (SVM)Aixia Yan, Xianglei Nie, Kai Wang, et al.
ACS Omega|March 31, 2025
Modeling and Interpretability Study of the Structure-Activity Relationship for Multigeneration EGFR InhibitorsZhiqi Sun, Donghui Huo, Jiangyu Guo, et al.
Combinatorial Chemistry & High Throughput Screening|May 5, 2016
Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector MachineHang Li, Maolin Wang, Ya-Nan Gong, et al.
Pageof 8

Showing results (31-40 of 73) with videos related to

Sort By:
Pageof 8
Molecular Diversity|November 6, 2012
Using self-organizing map (SOM) and support vector machine (SVM) for classification of selectivity of ACAT inhibitorsLing Wang, Maolin Wang, Aixia Yan, et al.
Chemical Research in Toxicology|April 5, 2023
Prediction and Structure-Activity Relationship Analysis on Ready Biodegradability of Chemical Using Machine Learning MethodHongyan Yin, Cheng Lin, Yujia Tian, et al.
Drug Discovery Today|December 9, 2014
Targeting HIV-1 integrase with strand transfer inhibitorsYang Li, Shouyi Xuan, Yue Feng, et al.
Chemical Biology & Drug Design|October 18, 2023
Ligand and structure based hierarchical virtual screening cascade for finding novel epidermal growth factor receptor inhibitorsDonghui Huo, Zhiqi Sun, Maolin Wang, et al.
Chemical Research in Toxicology|April 13, 2013
Carcinogenicity prediction of noncongeneric chemicals by a support vector machineMin Zhong, Xianglei Nie, Aixia Yan, et al.
Chemical Biology & Drug Design|February 8, 2023
Prediction of bioactivities of microsomal prostaglandin E<sub>2</sub> synthase-1 inhibitors by machine learning algorithmsYujia Tian, Zhenwu Yang, Hongzhao Wang, et al.
Molecular Diversity|November 3, 2012
Discriminating of ATP competitive Src kinase inhibitors and decoys using self-organizing map and support vector machineAixia Yan, Xiaoying Hu, Kai Wang, et al.
European Journal of Medicinal Chemistry|July 17, 2012
Classification of Aurora kinase inhibitors by self-organizing map (SOM) and support vector machine (SVM)Aixia Yan, Xianglei Nie, Kai Wang, et al.
ACS Omega|March 31, 2025
Modeling and Interpretability Study of the Structure-Activity Relationship for Multigeneration EGFR InhibitorsZhiqi Sun, Donghui Huo, Jiangyu Guo, et al.
Combinatorial Chemistry & High Throughput Screening|May 5, 2016
Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector MachineHang Li, Maolin Wang, Ya-Nan Gong, et al.
Pageof 8