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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, 2006-09, Vol.46 (5), p.1984-1995

2006

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Hippocampal Astrocytes In Situ Exhibit Calcium Oscillations That Occur Independent of Neuronal Activity

Journal of neurophysiology, 2002-01, Vol.87 (1), p.528-537

2002

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Advances in virtual screening

Drug discovery today. Technologies, 2006-01, Vol.3 (4), p.405-411

2006

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Application of Validated QSAR Models of D1 Dopaminergic Antagonists for Database Mining

Journal of medicinal chemistry, 2005-11, Vol.48 (23), p.7322-7332

2005

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Combinatorial QSAR Modeling of P-Glycoprotein Substrates

Journal of chemical information and modeling, 2006-05, Vol.46 (3), p.1245-1254

2006

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Application of Validated QSAR Models of D 1 Dopaminergic Antagonists for Database Mining

Journal of medicinal chemistry, 2005-11, Vol.48 (23), p.7322-7332

2005

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QSAR Modeling of Human Serum Protein Binding with Several Modeling Techniques Utilizing Structure−Information Representation

Journal of medicinal chemistry, 2006-11, Vol.49 (24), p.7169-7181

2006

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kScore: a novel machine learning approach that is not dependent on the data structure of the training set

Journal of computer-aided molecular design, 2007-01, Vol.21 (1-3), p.87-95

2007

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Chemometric Analysis of Ligand Receptor Complementarity: Identifying Complementary Ligands Based on Receptor Information (CoLiBRI)

Journal of chemical information and modeling, 2006-03, Vol.46 (2), p.844-851

2006

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Three new consensus QSAR models for the prediction of Ames genotoxicity

Mutagenesis, 2004-09, Vol.19 (5), p.365-377

2004

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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, 2005-04, Vol.19 (4), p.229-242

2005

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Functional selectivity of dopamine D1 receptor agonists in regulating the fate of internalized receptors

Neuropharmacology, 2007-02, Vol.52 (2), p.562-575

2007

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Combinatorial QSAR of Ambergris Fragrance Compounds

Journal of Chemical Information and Computer Sciences, 2004-03, Vol.44 (2), p.582-595

2004

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Functional selectivity of dopamine D 1 receptor agonists in regulating the fate of internalized receptors

Neuropharmacology, 2007, Vol.52 (2), p.562-575

2007

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Development of computer aided drug discovery methods based on machine learning techniques and application to the dopamine D1 receptor

Oloff, Scott H

2005

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ProQuest

Combinatorial QSAR Modeling of P-Glycoprotein Substrates

ChemInform, 2006-08, Vol.37 (31), p.no-no

2006

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Combinatorial QSAR of Ambergris Fragrance Compounds

ChemInform, 2004-06, Vol.35 (25), p.no-no

2004

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A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models

Hippocampal Astrocytes In Situ Exhibit Calcium Oscillations That Occur Independent of Neuronal Activity

Advances in virtual screening

Application of Validated QSAR Models of D1 Dopaminergic Antagonists for Database Mining

Combinatorial QSAR Modeling of P-Glycoprotein Substrates

Application of Validated QSAR Models of D 1 Dopaminergic Antagonists for Database Mining

QSAR Modeling of Human Serum Protein Binding with Several Modeling Techniques Utilizing Structure−Information Representation

kScore: a novel machine learning approach that is not dependent on the data structure of the training set

Chemometric Analysis of Ligand Receptor Complementarity: Identifying Complementary Ligands Based on Receptor Information (CoLiBRI)

Three new consensus QSAR models for the prediction of Ames genotoxicity

Quantitative structure-activity relationship analysis of pyridinone HIV-1 reverse transcriptase inhibitors using the k nearest neighbor method and QSAR-based database mining

Functional selectivity of dopamine D1 receptor agonists in regulating the fate of internalized receptors

Combinatorial QSAR of Ambergris Fragrance Compounds

Functional selectivity of dopamine D 1 receptor agonists in regulating the fate of internalized receptors

Development of computer aided drug discovery methods based on machine learning techniques and application to the dopamine D1 receptor

Combinatorial QSAR Modeling of P-Glycoprotein Substrates

Combinatorial QSAR of Ambergris Fragrance Compounds

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