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NCTR Toxicoinformatics
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- Tong W, Xie Q, Hong H, Fang H, Shi L, Perkins R, A QSAR got to know its
limitation: The importance of prediction confidence and application domain in
Decision Forest for regulatory application, Environmental Health
Perspectives, 112 (12), August 2004 PDF | WORD
- Fang H, Tong W, Welsh W, Sheehan DM.
QSAR Models in Receptor-Mediated
Effects: The Nuclear Receptor Superfamily. J Mol Struct (THEOCHEM)
622:113-125, 2003
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- Tong W, Hong H, Fang H, Xie Q, Perkins R.
Decision Forest: Combining the
predictions of multiple independent decision tree models, J Chem Inf Comput
Sci. 43(2):525-531, 2003.
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- Tong W, Fang H, Hong H, Xie Q, Perkins R, Anson J, Sheehan D.
Regulatory
application of SAR/QSAR for priority setting of endocrine disruptors – A
perspective, Pure and Applied Chem, 75(11-12):2375-2388, 2003
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- Hong H, Fang H, Xie Q, Perkins R, Sheehan DM, Tong W.
Comparative
Molecular Field Analysis (CoMFA) Model Using a Large Diverse Set of Natural,
Synthetic and Environmental Chemicals for Binding to the Androgen Receptor,
SAR/QSAR Environ Res, 14(5-6): 373-388, 2003.
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- Fang H, Tong W, Branham W, Moland CL, Dial SL, Hong H, Xie Q, Perkins R,
Owens W, Sheehan DM.
Study of 202 Natural, Synthetic and Environmental
Chemicals for Binding to the Androgen Receptor, Chem Res Toxicol, 2003,
16:1338-1358. Review.
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- Walker JD, Fang H, Perkins R, Tong W.
QSARs for Endocrine Disruption Priority Setting Database 2: The Integrated
4-Phase Model, QSAR Comb. Sci. 22(1): 89-105 (2003).
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- Perkins R, Fang H, Tong W, Welsh W.
Quantitative Structure-Activity
Relationship Methods: Perspectives on Drug Discovery and Toxicology, Environmental Toxicology and Chemistry, 22(8): 1666-1679, 2003
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- Tong W, Welsh W, Shi L, Fang H, Perkins R.
Structure-Activity Relationship
Approaches and Applications, Environmental Toxicology and Chemistry, 22(8):
1680-1695, 2003
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- Yu SJ, Keenan SM, Tong W, Welsh WJ.
Influence of the Structural Diversity
of Data Sets on the Statistical Quality of Three-Dimensional Quantitative
Structure-Activity Relationship (3D-QSAR) Models: Predicting the Estrogenic
Activity of Xenoestrogens, Chem Res Toxicol, 15 (10): 1229-1234, 2002.
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- Tong W, Perkins R, Fang H, Hong H, Xie Q, Branham W, Sheehan D, Anson J.
Development of Quantitative Structure-Activity Relationships (QSARs) and
Their Use for Priority Setting in the Testing Strategy of Endocrine Disruptors,
Regulatory Research Perspectives, 1(3):1-16, 2002
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- Branham WS, Dial SL, Moland CL, Hass B, Blair R, Fang H, Shi L, Tong W,
Perkins R, Sheehan DM.
Phytoestrogen and Mycoestrogen Bind to the Rat Uterine
Estrogen Receptor, Journal of Nutrition; 132(4):658-664, 2002.
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- Shi LM, Tong W, Fang H, Perkins R, Wu J, Tu M, Blair R, Branham W, Waller
C, Walker J, Sheehan D.
An integrated "4-Phase" approach for setting endocrine
disruption screening priorities - Phase I and II predictions of estrogen
receptor binding affinity, SAR/QSAR in Environ. Res. 13(1):69-88, 2002.
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- Hong H, Tong W, Fang H, Shi L, Xie Q, Wu J, Perkins R, Walker JD, Branham
W, Sheehan D.
Prediction of estrogen receptor binding for 58,000 chemicals
using an integrated system of a tree-based model with structural alerts,
Environ. Health Perspect. 2002 Jan;110(1):29-36.
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- Fang H, Tong W, Shi L, Blair R, Perkins R, Branham WS, Hass BS, Xie Qian,
Dial SL, Moland CL, Sheehan DM.
Structure - activity relationships for a large
diverse set of natural, synthetic and environmental estrogens, Chem. Res. Toxicol. 14(3): 280-294, 2001.
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- Shi LM, Fang H, Tong W, Wu J, Perkins R, Blair R, Branham W, Dial SL, Moland CL, Sheehan D.
QSAR models using a large diverse set of
estrogens, J. Chem. Inf. Comp. Sci. 41(1): 186-195, 2001.
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- Blair R, Fang H, Gaylor D, Sheehan DM.
Threshold analysis of
selected dose-response data for endocrine active chemicals,
Acta Pathologica, Microbiologica et Immunologica Scandinavica (APMIS),
109:198-208(2001).
Abstract | PDF
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- Fang H, Tong W, Perkins R, Soto A, Prechtl N, Sheehan DM.
Quantitative comparison of in vitro assays for estrogenic activities,
Environ. Health Perspect. 108(8): 723-729; 2000.
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- Blair R, Fang H, Branham WS, Hass B, Dial SL, Moland CL, Tong W, Shi L,
Perkins R, Sheehan DM.
The estrogen receptor relative binding
affinities of 188 natural and xenochemicals: structural diversity of
ligands, Toxicol. Sci. 54:138-153; 2000.
Abstract | PDF
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- Tong W, Perkins R, Sheehan DM.
Perspectives on three-dimensional
Quantitative Structure-Activity Relationship (3D-QSAR)/Comparative Molecular
Field Analysis (CoMFA) in determining estrogenic effects, Japan Chemistry
Today 2:50-57; 1999. HTML | PDF | Abstract
- Xing L, Welsh WJ, Tong W, Perkins R, Sheehan DM.
Comparison of
estrogen receptor alpha and beta subtypes based on comparative molecular
field analysis (CoMFA), SAR/QSAR Environ. Res. 10:215-237;
1999.
Abstract
- Tong W, Perkins R, Wu J, Shi L, Tu M, Fang H, Blair R, Branham W,
Sheehan DM.
An intergrated computational approach for
prioritizing potential estrogens, Yokohama Workshop on
Environmental Endocrine Disruptors '99: Possible Effect on Human and
Wildlife, p.247-254, Yokohama, Japan, 1999. HTML | PDF | Abstract
- Tong W, Lowis DR, Perkins R, Chen Y, Welsh WJ, Goddette DW, Heritage TW,
Sheehan DM.
Evaluation of quantitative structure-activity
relationship methods for large-scale prediction of chemicals binding to
the estrogen receptor, J. Chem. Inf. Comput. Sci. 38:669-77;
1998.
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- Tong W, Collantes ER, Welsh WJ, Berglund B, Howlett A,
Derivation of a Pharmacophore Model for Anandamide Using Constrained
Conformational Searching and Comparative Molecular Field Analysis (CoMFA),
J Med Chem, 41:4207-4215,1998.
Abstract
- Tong W, Perkins R, Strelitz R, Collantes ER, Keenan S, Welsh WJ, Branham
WS, Sheehan DM.
Quantitative structure-activity relationships (QSARs)
for estrogen binding to the estrogen receptor: predictions across
species, Environ. Health Perspect. 105:1116-24; 1997.
Abstract
- Tong W, Perkins R, Xing L, Welsh WJ, Sheehan DM.
QSAR models for
binding of estrogenic compounds to estrogen receptor alpha and beta
subtypes, Endocrin. 138:4022-5; 1997.
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