☰

Scott H. Oloff, Ph.D. - Publications

Institution:
University of North Carolina, Chapel Hill, Chapel Hill, NC
Area:
dopamine neuropharmacology
Tree Info Grants Similar researchers Related pubs Distance to... Nearest Nobel PubMed Report error

10 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2007 Ryman-Rasmussen JP, Griffith A, Oloff S, Vaidehi N, Brown JT, Goddard WA, Mailman RB. Functional selectivity of dopamine D1 receptor agonists in regulating the fate of internalized receptors. Neuropharmacology. 52: 562-75. PMID 17067639 DOI: 10.1016/J.Neuropharm.2006.08.028  0.444
2006 Votano JR, Parham M, Hall LM, Hall LH, Kier LB, Oloff S, Tropsha A. QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation. Journal of Medicinal Chemistry. 49: 7169-81. PMID 17125269 DOI: 10.1021/Jm051245V  0.454
2006 Zhang S, Golbraikh A, Oloff S, Kohn H, Tropsha A. 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. PMID 16995729 DOI: 10.1021/Ci060132X  0.486
2006 de Cerqueira Lima P, Golbraikh A, Oloff S, Xiao Y, Tropsha A. Combinatorial QSAR modeling of P-glycoprotein substrates. Journal of Chemical Information and Modeling. 46: 1245-54. PMID 16711744 DOI: 10.1021/Ci0504317  0.458
2006 Oloff S, Zhang S, Sukumar N, Breneman C, Tropsha A. Chemometric analysis of ligand receptor complementarity: identifying Complementary Ligands Based on Receptor Information (CoLiBRI). Journal of Chemical Information and Modeling. 46: 844-51. PMID 16563016 DOI: 10.1021/Ci050065R  0.446
2005 Oloff S, Mailman RB, Tropsha A. Application of validated QSAR models of D1 dopaminergic antagonists for database mining. Journal of Medicinal Chemistry. 48: 7322-32. PMID 16279792 DOI: 10.1021/Jm049116M  0.565
2005 Medina-Franco JL, Golbraikh A, Oloff S, Castillo R, Tropsha A. 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. PMID 16163450 DOI: 10.1007/S10822-005-4789-8  0.487
2005 Kovatcheva A, Golbraikh A, Oloff S, Feng J, Zheng W, Tropsha A. QSAR modeling of datasets with enantioselective compounds using chirality sensitive molecular descriptors. Sar and Qsar in Environmental Research. 16: 93-102. PMID 15844445 DOI: 10.1080/10629360412331319844  0.462
2004 Votano JR, Parham M, Hall LH, Kier LB, Oloff S, Tropsha A, Xie Q, Tong W. Three new consensus QSAR models for the prediction of Ames genotoxicity. Mutagenesis. 19: 365-77. PMID 15388809 DOI: 10.1093/Mutage/Geh043  0.423
2004 Kovatcheva A, Golbraikh A, Oloff S, Xiao YD, Zheng W, Wolschann P, Buchbauer G, Tropsha A. Combinatorial QSAR of ambergris fragrance compounds. Journal of Chemical Information and Computer Sciences. 44: 582-95. PMID 15032539 DOI: 10.1021/Ci034203T  0.484
Show low-probability matches.