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Aixia Yan

Showing results (1-10 of 73) with videos related to

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Journal of Chemical Information and Modeling|November 28, 2006
Modeling of Gibbs energy of formation of organic compounds by linear and nonlinear methodsAixia Yan
Combinatorial Chemistry & High Throughput Screening|July 18, 2006
Application of self-organizing maps in compounds pattern recognition and combinatorial library designAixia Yan
Molecular Diversity|May 10, 2017
Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptorsZhonghua Xia, Aixia Yan
Journal of Chemical Information and Computer Sciences|March 26, 2003
Prediction of aqueous solubility of organic compounds based on a 3D structure representationAixia Yan, Johann Gasteiger
Molecular Diversity|May 9, 2013
Classification of Plasmodium falciparum glucose-6-phosphate dehydrogenase inhibitors by support vector machineXiaoli Hou, Aixia Yan
Bioorganic & Medicinal Chemistry Letters|March 31, 2012
Quantitative structure and bioactivity relationship study on human acetylcholinesterase inhibitorsAixia Yan, Kai Wang
Molecular Informatics|August 2, 2016
In Silico Models to Discriminate Compounds Inducing and Noninducing Toxic MyopathyXiaoying Hu, Aixia Yan
Molecular Diversity|November 13, 2010
Discriminating of HMG-CoA reductase inhibitors and decoys using self-organizing mapsZhi Wang, Aixia Yan
Molecular Diversity|November 12, 2024
Classification models and SAR analysis of anaplastic lymphoma kinase (ALK) inhibitors using machine learning algorithms with two data division methodsDan Qu, Aixia Yan
Toxicology in Vitro : an International Journal Published in Association with BIBRA|August 23, 2011
In silico prediction of rhabdomyolysis of compounds by self-organizing map and support vector machineXiaoying Hu, Aixia Yan
Pageof 8

Showing results (1-10 of 73) with videos related to

Sort By:
Pageof 8
Journal of Chemical Information and Modeling|November 28, 2006
Modeling of Gibbs energy of formation of organic compounds by linear and nonlinear methodsAixia Yan
Combinatorial Chemistry & High Throughput Screening|July 18, 2006
Application of self-organizing maps in compounds pattern recognition and combinatorial library designAixia Yan
Molecular Diversity|May 10, 2017
Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptorsZhonghua Xia, Aixia Yan
Journal of Chemical Information and Computer Sciences|March 26, 2003
Prediction of aqueous solubility of organic compounds based on a 3D structure representationAixia Yan, Johann Gasteiger
Molecular Diversity|May 9, 2013
Classification of Plasmodium falciparum glucose-6-phosphate dehydrogenase inhibitors by support vector machineXiaoli Hou, Aixia Yan
Bioorganic & Medicinal Chemistry Letters|March 31, 2012
Quantitative structure and bioactivity relationship study on human acetylcholinesterase inhibitorsAixia Yan, Kai Wang
Molecular Informatics|August 2, 2016
In Silico Models to Discriminate Compounds Inducing and Noninducing Toxic MyopathyXiaoying Hu, Aixia Yan
Molecular Diversity|November 13, 2010
Discriminating of HMG-CoA reductase inhibitors and decoys using self-organizing mapsZhi Wang, Aixia Yan
Molecular Diversity|November 12, 2024
Classification models and SAR analysis of anaplastic lymphoma kinase (ALK) inhibitors using machine learning algorithms with two data division methodsDan Qu, Aixia Yan
Toxicology in Vitro : an International Journal Published in Association with BIBRA|August 23, 2011
In silico prediction of rhabdomyolysis of compounds by self-organizing map and support vector machineXiaoying Hu, Aixia Yan
Pageof 8