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Quantitative structure–activity relationship
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261	Microsoft PowerPoint - EA for AA cba.ppt Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-31 13:41:40 Chemistry Endocrine disruptor Endocrine system Hormone Quantitative structure–activity relationship Endocrinology Biology Medicine
262	Microsoft Word - 04 Intro to predictve models.doc Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-09-13 15:50:35 Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Structure–activity relationship Molecular descriptor Economic model Mathematical model Scientific modelling Science Chemistry Cheminformatics
263	Development of a Systems Approach to Characterizing and Predicting Thyroid Toxicity Using an Amphibian Model research d ev el opme nt Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-07 10:13:59 Thyroid disease Glands Hypothalamic–pituitary–thyroid axis Iodine Peptide hormones Thyroid Thyroglobulin Quantitative structure–activity relationship Methimazole Chemistry Anatomy Medicine
264	28 July[removed]New models to assess developmental toxicity for REACH In line with EU legislative requirements, new research has developed models to assess the toxicity of chemicals in terms of their effects on human devel Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-07-10 03:59:20 Chemistry Science Computational chemistry Quantitative structure–activity relationship Applicability Domain Pharmacology Medicinal chemistry Cheminformatics
265	27 October[removed]New tools to predict toxicity of fire retardants Researchers have developed new tools to screen previously untested fire-retardant chemicals for potential toxicity. The tools – known as Quantitative St Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-07-10 03:59:23 Science Evaluation Risk Persistent organic pollutants Pharmacology Quantitative structure–activity relationship Brominated flame retardant Endocrine disruptor Decabromodiphenyl ether Chemistry Flame retardants Organobromides
266	Appendix D. Thematic Bibliography In this appendix, bibliographic references are collected for some special topics of general interest. These references are in addition to those already quoted in the main text of the boo Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2009-11-17 03:40:10 Cheminformatics Computational science Computational chemistry Computational neuroscience Pharmacology Quantitative structure–activity relationship Crystal Neural network Partition coefficient Chemistry Science Medicinal chemistry
267	Step 5: Filling data gap - Predict missing data by readacross, trend analysis or QSAR models Select a data gap by clicking in the corresponding empty cell in the data matrix, select one of the three data gap filling meth Add to Reading List Source URL: www.qsartoolbox.org Language: English Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Chemical substance Profiling CAS registry number Chemistry Science Cheminformatics
268	OECD QSAR Toolbox v.3.2 Step-by-step example on how to predict the skin sensitisation potential approach of a chemical by read-across based on an analogue approach Add to Reading List Source URL: www.qsartoolbox.org Language: English Cheminformatics Science Computational chemistry Quantitative structure–activity relationship Organisation for Economic Co-operation and Development Workflow Business Medicinal chemistry Pharmacology Chemistry
269	OECD QSAR Toolbox v.3.2 Step-by-step example of how to categorize an inventory by mechanistic behaviour of the chemicals which it consists Outlook Add to Reading List Source URL: www.qsartoolbox.org Language: English Cheminformatics Science Computational chemistry Quantitative structure–activity relationship Workflow technology Organisation for Economic Co-operation and Development Workflow Business Pharmacology Medicinal chemistry Chemistry
270	OECD QSAR Toolbox v.3.2 Step-by-step example of how to predict Ames mutagenicity for a chemical by a qualitative read-across approach Outlook Add to Reading List Source URL: www.qsartoolbox.org Language: English Chemistry Computational chemistry Quantitative structure–activity relationship Science Organisation for Economic Co-operation and Development Cheminformatics Medicinal chemistry Pharmacology

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