Scott H. Oloff, Ph.D.

Institution:
University of North Carolina, Chapel Hill, Chapel Hill, NC
Area:
dopamine neuropharmacology
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"Scott Oloff"
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Parents

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Richard B. Mailman grad student 2005 UNC Chapel Hill
 (Development of computer aided drug discovery methods based on machine learning techniques and application to the dopamine D1 receptor.)
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Publications

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Ryman-Rasmussen JP, Griffith A, Oloff S, et al. (2007) Functional selectivity of dopamine D1 receptor agonists in regulating the fate of internalized receptors. Neuropharmacology. 52: 562-75
Votano JR, Parham M, Hall LM, et al. (2006) QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation. Journal of Medicinal Chemistry. 49: 7169-81
Zhang S, Golbraikh A, Oloff S, et al. (2006) A novel automated lazy learning QSAR (ALL-QSAR) approach: method development, applications, and virtual screening of chemical databases using validated ALL-QSAR models. Journal of Chemical Information and Modeling. 46: 1984-95
de Cerqueira Lima P, Golbraikh A, Oloff S, et al. (2006) Combinatorial QSAR modeling of P-glycoprotein substrates. Journal of Chemical Information and Modeling. 46: 1245-54
Oloff S, Zhang S, Sukumar N, et al. (2006) Chemometric analysis of ligand receptor complementarity: identifying Complementary Ligands Based on Receptor Information (CoLiBRI). Journal of Chemical Information and Modeling. 46: 844-51
Oloff S, Mailman RB, Tropsha A. (2005) Application of validated QSAR models of D1 dopaminergic antagonists for database mining. Journal of Medicinal Chemistry. 48: 7322-32
Medina-Franco JL, Golbraikh A, Oloff S, et al. (2005) Quantitative structure-activity relationship analysis of pyridinone HIV-1 reverse transcriptase inhibitors using the k nearest neighbor method and QSAR-based database mining. Journal of Computer-Aided Molecular Design. 19: 229-42
Kovatcheva A, Golbraikh A, Oloff S, et al. (2005) QSAR modeling of datasets with enantioselective compounds using chirality sensitive molecular descriptors. Sar and Qsar in Environmental Research. 16: 93-102
Votano JR, Parham M, Hall LH, et al. (2004) Three new consensus QSAR models for the prediction of Ames genotoxicity. Mutagenesis. 19: 365-77
Kovatcheva A, Golbraikh A, Oloff S, et al. (2004) Combinatorial QSAR of ambergris fragrance compounds. Journal of Chemical Information and Computer Sciences. 44: 582-95
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