2Bioinformatics Laboratory / HC LC / Ligand / CRC Press / Principal co / Xing / /
Country
United States / / / /
IndustryTerm
dif ferent unknown chemicals / environmental and industrial chemicals / pharmaceutical industry / untested chemicals / active chemicals / endocrine-disrupting chemicals / enrichment tool / inactive chemicals / rank-order chemicals / chemical toxicity / unknown chemicals / environmental chemicals / imbedded tool / pre dicting unknown chemicals / large chemical universe / chemical / correlation algorithms / chemical structure / food additives / statistical algorithm / chemicals / set chemicals / priority-setting tool / unknown chemical / chemical-structure diversity / /
NaturalFeature
Decision Forest / /
Organization
Food and Drug Administration / U.S. Environmental Protection Agency / U.S. Congress / Center for Toxicoinformatics / Stanford / Division of Biometry and Risk Assessment / /
Person
Marcel Dekker / Roger Perkins / Blair / / /
Position
model for predicting unknown chemicals / representative / /
Product
Adv Drug / /
ProvinceOrState
Arkansas / /
PublishedMedium
Public Law / Environmental Health Perspectives / /
RadioStation
Richard AM / /
Technology
alpha / Toxicogenomics / statistical algorithm / Drug Delivery / drug discovery / chemotherapy / correlation algorithms / drug design / drug development / DF algorithm / /
Assessment of Prediction Confidence and Domain Extraolation of Two Structure-Active Relationship Models for Predicting Estrogen Receptor Binding Activity