Peter C. Jurs
Affiliations: | Pennsylvania State University, State College, PA, United States |
Area:
Computational ChemistryGoogle:
"Peter Jurs"Mean distance: 12.05 | S | N | B | C | P |
Children
Sign in to add traineeHeidi E. McClelland | grad student | 2000 | Penn State |
Gregory A. Bakken | grad student | 2001 | Penn State |
Gregory W. Kauffmann | grad student | 2002 | Penn State |
Brian E. Mattioni | grad student | 2003 | Penn State |
Nathan R. McElroy | grad student | 2003 | Penn State |
Philip D. Mosier | grad student | 2003 | Penn State |
Suhas J. Patankar | grad student | 2003 | Penn State |
Jon R. Serra | grad student | 2004 | Penn State |
Rajarshi Guha | grad student | 2005 | Penn State |
Linnan He | grad student | 2005 | Penn State |
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Publications
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Johnson SR, Jurs PC. (2007) Prediction of Acute Mammalian Toxicity from Molecular Structure for a Diverse Set of Substituted Anilines Using Regression Analysis and Computational Neural Networks Computer-Assisted Lead Finding and Optimization: Current Tools For Medicinal Chemistry. 29-48 |
Guha R, Dutta D, Jurs PC, et al. (2006) Local lazy regression: making use of the neighborhood to improve QSAR predictions. Journal of Chemical Information and Modeling. 46: 1836-47 |
Guha R, Dutta D, Jurs PC, et al. (2006) R-NN curves: an intuitive approach to outlier detection using a distance based method. Journal of Chemical Information and Modeling. 46: 1713-22 |
Dutta D, Guha R, Jurs PC, et al. (2006) Scalable partitioning and exploration of chemical spaces using geometric hashing. Journal of Chemical Information and Modeling. 46: 321-33 |
Guha R, Stanton DT, Jurs PC. (2005) Interpreting computational neural network quantitative structure-activity relationship models: a detailed interpretation of the weights and biases. Journal of Chemical Information and Modeling. 45: 1109-21 |
Guha R, Jurs PC. (2005) Interpreting computational neural network QSAR models: a measure of descriptor importance. Journal of Chemical Information and Modeling. 45: 800-6 |
He L, Jurs PC. (2005) Assessing the reliability of a QSAR model's predictions. Journal of Molecular Graphics & Modelling. 23: 503-23 |
He L, Jurs PC, Kreatsoulas C, et al. (2005) Probabilistic neural network multiple classifier system for predicting the genotoxicity of quinolone and quinoline derivatives. Chemical Research in Toxicology. 18: 428-40 |
Guha R, Jurs PC. (2005) Determining the validity of a QSAR model--a classification approach. Journal of Chemical Information and Modeling. 45: 65-73 |
Guha R, Jurs PC. (2004) Development of linear, ensemble, and nonlinear models for the prediction and interpretation of the biological activity of a set of PDGFR inhibitors. Journal of Chemical Information and Computer Sciences. 44: 2179-89 |