Development of Improved QSAR Models for Predicting A-T Base Pair Mutations Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, and Naomi L. Kruhlak FDA Center for Drug Evaluation and Research (CDER), 10903 New Hampsh

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Date: 2016-01-15 17:48:32 Bacteria Gram-negative bacteria Cheminformatics Medicinal chemistry Computational chemistry Drug discovery Quantitative structureactivity relationship Salmonella Escherichia coli Mutagen UvrABC endonuclease		Development of Improved QSAR Models for Predicting A-T Base Pair Mutations Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, and Naomi L. Kruhlak FDA Center for Drug Evaluation and Research (CDER), 10903 New Hampsh Add to Reading List Source URL: www.leadscope.com Download Document from Source Website File Size: 823,73 KB Share Document on Facebook

	Development of Improved QSAR Models for Predicting A-T Base Pair Mutations Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, and Naomi L. Kruhlak FDA Center for Drug Evaluation and Research (CDER), 10903 New Hampsh DocID: 1qXNs - View Document
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	7 OCTOBE RScientific Background on the Nobel Prize in Chemistry 2015 M E C H A N I S T I C S T U D I E S O F D N A R E PA I R compiled by the Class for Chemistry of the Royal Swedish Academy of Sciences DocID: 1kJzu - View Document