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    <title>Nature Precedings - Tag feed for drugs</title>
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      <title>Reflect: Augmented Browsing for the Life Scientist</title>
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      <description>Anyone who regularly reads life science literature often comes across names of genes, proteins, or small molecules that they would like to know more about. To make this process easier, we have developed a new, free service called Reflect (http://reflect.ws) that can be installed as a plug-in to Firefox or Internet Explorer. Reflect tags gene, protein, and small molecule names in any web page, typically within a few seconds, and without affecting document layout. Clicking on a tagged gene or protein name opens a popup showing a concise summary that includes synonyms, database identifiers, sequence, domains, 3D structure, interaction partners, subcellular location, and related literature. Clicking on a tagged small molecule name opens a popup showing 2D structure and interaction partners. The popups also allow navigation to commonly used databases. In the future we plan to add further entity types to Reflect, including outside the life sciences.</description>
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      <pubDate>Mon, 04 May 2009 14:50:53 UTC</pubDate>
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      <dc:creator>Se&#225;n I. O'Donoghue</dc:creator>
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      <title>Systems Pharmacology</title>
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      <description>The slides are from a presentation given by Professor Ravi Iyengar from Mount Sinai School of Medicine at the Drug Forum Meeting #9 that took place in Washington, DC on February 20-21, 2008. The slides describe two projects: one that was published last year, and the other unpublished. These projects used network analysis to explore the relationships between FDA approved drugs and a human protein-protein interaction network. </description>
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      <dc:date>2008-04-02</dc:date>
      <dc:creator>Ravi Iyengar</dc:creator>
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      <title>Application of the Sensory Contact Model for Pharmacological Studies under Simulated Clinical Conditions</title>
      <link>http://precedings.nature.com/documents/1439/version/1</link>
      <description>The sensory contact model allows forming different psycho-pathological states (anxious depression, catalepsy, social withdrawal, pathological aggression, cognition disturbances, anhedonia, addictive states etc.) produced by repeated agonistic interactions in male mice and investigating the therapeutic and preventive properties of any drug as well as its efficiency under simulated clinical conditions. This approach can be useful for a better understanding of the drugs&#8217; action in different stages of disease development in individuals. It is suggested that this behavioral approach and pharmacological designs may be applied for the screening of novel psychotropic drugs. </description>
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      <pubDate>Wed, 19 Dec 2007 14:51:26 UTC</pubDate>
      <dc:title>Application of the Sensory Contact Model for Pharmacological Studies under Simulated Clinical Conditions</dc:title>
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      <dc:date>2007-12-19</dc:date>
      <dc:creator>Natalia N. Kudryavtseva</dc:creator>
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      <title>PharmGKB:  Capturing knowledge to catalyze pharmacogenomics research</title>
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      <description>This is a powerpoint presentation made initially at the Cold Spring Harbor meeting on Pharmacogenomics, November 2006.  It discusses the PharmGKB (http://www.pharmgkb.org/) and how we are building a pipeline for annotation of knowledge.  In particular, we are focusing on pathway knowledge, &amp;#8220;Very important Pharmacogene&amp;#8221; annotations, and curation of the pharmacogenomics literature.  We are building an ontology-based system to capture and aggregate knowledge, for use by our curators.</description>
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      <pubDate>Thu, 30 Nov 2006 02:33:52 UTC</pubDate>
      <dc:title>PharmGKB:  Capturing knowledge to catalyze pharmacogenomics research</dc:title>
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      <dc:date>2006-11-30</dc:date>
      <dc:creator>Russ B. Altman</dc:creator>
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