Kobe / Princeton / Philadelphia / Pensacola / San Leandro / Jefferson / New York / Washington / DC / Cambridge / Pensecola / San Diego / /
Company
Molecular Design Limited / 2BASF Corporation / Prechtl NV / John Wiley and Sons / Molecular Simulation Inc. / MathSoft Inc. / National Academy Press / R.O.W. Sciences Inc. / O.W. Sciences Inc. / SETAC Press / ER / /
Continent
Europe / North America / /
Country
Japan / United States / / /
Facility
Pike AC / / /
IndustryTerm
possible active chemicals / synthetic and environmental chemicals / industrial chemicals / potential priority-setting applications / models predicting chemicals / similar chemicals / low-affinity chemicals / receptor binding systems / active chemicals / chemical structures / endocrine-disrupting chemicals / inactive chemicals / high-affinity chemicals / valid algorithm / chemical data sets / chemistry tools / receptor binding site / large chemical data sets / chemical classes / substructure-based computerized chemical selection expert system / food additives / chemicals / chemical fate / phenolic / Chemical selection / endocrine disrupting chemicals / hit chemicals / receptor-binding systems / excluded chemicals / eliminated chemicals / lowest priority chemicals / untested chemicals / possible lead chemicals / important chemicals / individual chemicals / nondruglike chemicals / chemical groups / environmental chemicals / chemical potencies / chemical / realworld applications / chemical structure / /
Movie
IF ... / /
OperatingSystem
ISIS / /
Organization
U.S. Environmental Protection Agency / National Center / Endocrine Disruptor Screening and Testing Advisory Committee / Reserve Bank of Australia / American Chemistry Council / Chemical Abstract Service / FDA’s office of Women / U.S. Food and Drug Administration’s National Center for Toxicological Research / 3TSCA Interagency Testing Committee / National Center for Toxicological Research / /
Person
Blair / Structural Alerts / Decrease K Potential / Evolutionary / Hong et al. Fang / Forrest S. Genetic / / /
Position
tree-based model / Combined model / combined model for the training and testing data sets / Walker data sets / Walker / model for the receptor binding site / model for the test data set / Loria PM / tree-based model for the training and testing data sets / /
Product
Adv Drug / Base software / Base / /
ProgrammingLanguage
DC / /
ProvinceOrState
New Jersey / Arkansas / /
PublishedMedium
Public Law / Environmental Health Perspectives / /
RadioStation
Brzozowski AM / Soto AM / /
Technology
Drug Delivery / drug discovery / Westhead DR. Evolutionary algorithms / alpha / expert system / Computational chemistry / valid algorithm / drug design / /
Articles Prediction of Estrogen Receptor Binding for 58,000 Chemicals Using an Integrated System of a Tree-Based Model with Structural Alerts Huixiao Hong,1 Weida Tong,1 Hong Fang,1 Leming Shi,2 Qian Xie,1 Jie Wu,1 Roge