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Quantitative pharmacology
Results: 339

#	Item
271	Estimation of Toxicity Using the Toxicity Estimation Software Tool (TEST) Add to Reading List Source URL: nepis.epa.gov Language: English Computational chemistry Pharmacology Medicinal chemistry Quantitative structure–activity relationship Molecular descriptor Cheminformatics Chemistry Science
272	Summary of Activities and Next Steps - Report for the NDWAC CCL Work Group September 17, 2003 Add to Reading List Source URL: www.epa.gov Language: English - Date: 2009-07-30 15:19:50 Medicinal chemistry Pharmacology Quantitative structure–activity relationship Chemistry Universe Drinking water Science Cheminformatics Computational chemistry
273	SAR and QSAR in Environmental Research, 2002 Vol[removed]), pp. 69–88 AN INTEGRATED “4-PHASE” APPROACH FOR SETTING ENDOCRINE DISRUPTION SCREENING PRIORITIES— PHASE I AND II PREDICTIONS OF ESTROGEN RECEPTOR BINDING Add to Reading List Source URL: www.fda.gov Language: English Science Cheminformatics Pharmacology Endocrinology Estrogens Quantitative structure–activity relationship Endocrine disruptor Pharmacophore Drug discovery Pharmaceutical sciences Chemistry Medicinal chemistry
274	Binning as a Screening Process for the Universe to the PCCL - Report for the NDWAC CCL Work Group Plenary Meeting September 17-18, 2003 Add to Reading List Source URL: www.epa.gov Language: English - Date: 2009-07-30 15:20:05 Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Solubility Science Binning Chemistry Solutions Cheminformatics
275	SAR and QSAR in Environmental Research, Vol. 16, No. 4, August 2005, 339–347 An in silico ensemble method for lead discovery: decision forest H. HONG†, W. TONG‡, Q. XIE†, H. FANG† and R. PERKINS† †Divisio Add to Reading List Source URL: www.fda.gov Language: English* Drug discovery Cheminformatics Machine learning Medicinal chemistry Quantitative structure–activity relationship Decision tree learning In silico Chemical library Virtual screening Pharmaceutical sciences Science Pharmacology
276	Quantitative and Systems Pharmacology in the Post-genomic Era: New Approaches to Discovering Drugs and Understanding Therapeutic Add to Reading List Source URL: www.nigms.nih.gov Language: English - Date: 2013-09-17 17:32:52 Health National Institute of General Medical Sciences Clinical pharmacology Quantitative pharmacology Drug discovery Chemical biology Medicinal chemistry Pharmacometrics Medical research Pharmaceutical sciences Pharmacology Science
277	US EPA: OSWER: Risk Assessment Guidance for Superfund, January[removed]Appendix C Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-12-18 12:29:54 Science Risk Pharmacokinetics Pharmacy Physiologically based pharmacokinetic modelling Toxicokinetics Risk assessment Quantitative structure–activity relationship Scientific Time Sharing Corporation Pharmaceutical sciences Toxicology Pharmacology
278	J. Chem. Inf. Comput. Sci. 1998, 38, [removed]Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor† Add to Reading List Source URL: www.fda.gov Language: English Pharmaceutical sciences Medicinal chemistry Computational chemistry Pharmacology Drug discovery Quantitative structure–activity relationship Molecular descriptor Drug design Structure–activity relationship Chemistry Science Cheminformatics
279	Assessment of Prediction Confidence and Domain Extraolation of Two Structure-Active Relationship Models for Predicting Estrogen Receptor Binding Activity Add to Reading List Source URL: www.fda.gov Language: English Medicinal chemistry Chemistry Cheminformatics Computational chemistry Clinical research Quantitative structure–activity relationship Applicability Domain Drug discovery Cross-validation Pharmaceutical sciences Pharmacology Science
280	Mutagenesis vol. 19 no. 5 pp[removed], 2004 doi:[removed]mutage/geh043 Three new consensus QSAR models for the prediction of Ames genotoxicity Add to Reading List Source URL: www.fda.gov Language: English Medicinal chemistry Pharmacology Mathematical chemistry Computational chemistry Quantitative structure–activity relationship Molecular descriptor Topological index Cross-validation Applicability Domain Chemistry Cheminformatics Science

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