SHUXING ZHANG to Quantitative Structure-Activity Relationship
This is a "connection" page, showing publications SHUXING ZHANG has written about Quantitative Structure-Activity Relationship.
Connection Strength
0.896
-
Antitumor agents 252. Application of validated QSAR models to database mining: discovery of novel tylophorine derivatives as potential anticancer agents. J Comput Aided Mol Des. 2007 Jan-Mar; 21(1-3):97-112.
Score: 0.298
-
A novel automated lazy learning QSAR (ALL-QSAR) approach: method development, applications, and virtual screening of chemical databases using validated ALL-QSAR models. J Chem Inf Model. 2006 Sep-Oct; 46(5):1984-95.
Score: 0.287
-
A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling. J Chem Inf Model. 2011 Nov 28; 51(11):2948-60.
Score: 0.102
-
Computational modeling of novel inhibitors targeting the Akt pleckstrin homology domain. Bioorg Med Chem. 2009 Oct 01; 17(19):6983-92.
Score: 0.088
-
Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces. J Med Chem. 2006 May 04; 49(9):2713-24.
Score: 0.070
-
Accurate prediction of glucuronidation of structurally diverse phenolics by human UGT1A9 using combined experimental and in silico approaches. Pharm Res. 2012 Jun; 29(6):1544-61.
Score: 0.027
-
Three-dimensional quantitative structure-activity relationship studies on UGT1A9-mediated 3-O-glucuronidation of natural flavonols using a pharmacophore-based comparative molecular field analysis model. J Pharmacol Exp Ther. 2011 Feb; 336(2):403-13.
Score: 0.024