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The American Journal of Chinese Medicine|June 18, 2002
Computer automated prediction of potential therapeutic and toxicity protein targets of bioactive compounds from Chinese medicinal plantsY Z Chen, C Y UngJournal of Molecular Graphics & Modelling|January 5, 2002
Prediction of potential toxicity and side effect protein targets of a small molecule by a ligand-protein inverse docking approachY Z Chen, C Y UngClinical and Experimental Dermatology|June 4, 2014
Primary cutaneous nodular amyloidosis associated with psoriasisC Y Ung, N J Carr, M R Ardern-JonesMolecular Pharmacology|September 28, 2006
In silico prediction of pregnane X receptor activators by machine learning approachesC Y Ung, H Li, C W Yap, et al.Chemical Research in Toxicology|August 22, 2006
Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methodsY Xue, H Li, C Y Ung, et al.Journal of Ethnopharmacology|August 4, 2006
Usefulness of traditionally defined herbal properties for distinguishing prescriptions of traditional Chinese medicine from non-prescription recipesC Y Ung, H Li, C Y Kong, et al.The British Journal of Dermatology|September 30, 2017
Patch testing with the European baseline series fragrance markers: a 2016 updateC Y Ung, J M L White, I R White, et al.Journal of Molecular Graphics & Modelling|February 25, 2006
Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methodsH Li, C Y Ung, C W Yap, et al.Chemical Research in Toxicology|June 21, 2005
Prediction of genotoxicity of chemical compounds by statistical learning methodsH Li, C Y Ung, C W Yap, et al.Cardiovascular & Hematological Agents in Medicinal Chemistry|February 3, 2007
Computer prediction of cardiovascular and hematological agents by statistical learning methodsX Chen, H Li, C W Yap, et al.Pageof 2