Similarity to Molecules in the Training Set Is a Good Discriminator for Prediction Accuracy in QSAR. - Robert P. Sheridan; Bradley P. Feuston; Vladimir N. Maiorov; Simon K. Kearsley (J. Chem. Inf. Model., 2004)

Enhanced Virtual Screening by Combined Use of Two Docking Methods: Getting the Most on a Limited Budget. - Vladimir N. Maiorov; Robert P. Sheridan (J. Chem. Inf. Model., 2005)

Comparison of Topological, Shape, and Docking Methods in Virtual Screening. - Georgia B. McGaughey; Robert P. Sheridan; Christopher I. Bayly; J. Christopher Culberson; Constantine Kreatsoulas; Stacey Lindsley; Vladimir N. Maiorov; Jean-François Truchon; Wendy D. Cornell (J. Chem. Inf. Model., 2007)

QSAR Models for Predicting the Similarity in Binding Profiles for Pairs of Protein Kinases and the Variation of Models between Experimental Data Sets. - Robert P. Sheridan; Kiyean Nam; Vladimir N. Maiorov; Daniel R. McMasters; Wendy D. Cornell (J. Chem. Inf. Model., 2009)

Drug-like Density: A Method of Quantifying the "Bindability" of a Protein Target Based on a Very Large Set of Pockets and Drug-like Ligands from the Protein Data Bank. - Robert P. Sheridan; Vladimir N. Maiorov; M. Katharine Holloway; Wendy D. Cornell; Ying-Duo Gao (J. Chem. Inf. Model., 2010)