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#	Item
231	Rolling Work Plan for the Statement of Intent between the European Chemicals Agency (ECHA) and the United States Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention’s (OCSPP Add to Reading List Source URL: www.epa.gov Language: English - Date: 2015-03-26 11:49:35 Substance of very high concern Science United States Environmental Protection Agency European Chemicals Agency Cheminformatics Green chemistry European Chemicals Bureau Toxicology Occupational safety and health Environment
232	Volume 60 October 2012 Volume 60 October 2012 Add to Reading List Source URL: www.chemadvisor.com Language: English - Date: 2012-10-04 14:01:40 Toxicology Environmental law Cheminformatics Safety engineering CLP Regulation Material safety data sheet Substance of very high concern Registration Evaluation Authorisation and Restriction of Chemicals Dangerous goods Safety Occupational safety and health Health
233	Microsoft PowerPoint - OxSynC300412(JR).ppt [Compatibility Mode] Add to Reading List Source URL: oxsync.chem.ox.ac.uk Language: English - Date: 2012-05-01 08:58:48 Medicinal chemistry Cheminformatics Chemical synthesis Chemist Drug discovery Chemical biology Organic chemistry Inorganic chemistry Catalysis Chemistry Science Pharmaceutical sciences
234	Astex Therapeutics and Cambridge Crystallographic Data Centre Extend 10-Year Research Collaboration Cambridge, UK, 12th May[removed]Astex Therapeutics, the fragment-based drug discovery company, and the Cambridge Crystallo Add to Reading List Source URL: astx.com Language: English Medicinal chemistry Drug discovery Computational chemistry Molecular modelling Cheminformatics Astex Cambridge Crystallographic Data Centre Protein–ligand docking Docking Pharmaceutical sciences Chemistry Science
235	Geosci. Instrum. Method. Data Syst., 4, 45–56, 2015 www.geosci-instrum-method-data-syst.net[removed]doi:[removed]gi[removed] © Author(s[removed]CC Attribution 3.0 License. COSIMA data analysis using multivariate te Add to Reading List Source URL: www.geosci-instrum-method-data-syst.net Language: English - Date: 2015-02-27 07:57:45 Data analysis Machine learning Cheminformatics Analytical chemistry Chemometrics Principal component analysis Mass spectrometry software Data mining Cross-validation Statistics Science Multivariate statistics
236	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: oasis-lmc.org Language: English - Date: 2013-02-11 09:46:30 Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Chemical substance Profiling CAS registry number Chemistry Science Cheminformatics
237	InChI Trust Newsletter August 2013 Summary: There continues to be good progress with InChI and the InChI Trust in a number of areas. In the non-technical area of support, new memberships continue to be very slow. The var Add to Reading List Source URL: 91.151.214.89 Language: English - Date: 2014-08-07 04:15:46 Cheminformatics Identifiers Encodings International Chemical Identifier InChI Trust PubChem Chemical substance Science Chemical nomenclature Chemistry
238	OECD QSAR Toolbox v.3.2 Example for predicting Skin Sensitization of mixture with known components Outlook Add to Reading List Source URL: oasis-lmc.org Language: English - Date: 2014-01-02 11:02:18 Medicinal chemistry Science Computational chemistry Quantitative structure–activity relationship Workflow technology Organisation for Economic Co-operation and Development Workflow Business Cheminformatics Pharmacology Chemistry
239	OECD QSAR Toolbox v.3.2 Example for predicting skin sensitisation potential of (2E,6Z)-2,6-nonadien-1-ol accounting for skin metabolism Outlook Add to Reading List Source URL: oasis-lmc.org Language: English - Date: 2014-01-02 11:02:17 Cheminformatics Computational chemistry Quantitative structure–activity relationship Science Organisation for Economic Co-operation and Development Pharmacology Medicinal chemistry Chemistry
240	[removed]OECD QSAR Toolbox v.3.0 Step-by-step example of how to predict Ames mutagenicity for a chemical by a qualitative read-across approach Add to Reading List Source URL: oasis-lmc.org Language: English - Date: 2013-02-11 07:43:20 Pharmacology Medicinal chemistry Cheminformatics Computational chemistry Quantitative structure–activity relationship Ames test Mutagenesis Mutagen Mutation Science Chemistry Biology

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