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<title>Drug Discovery Today - Latest News</title>
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<title>Drug discovery in the era of Facebook—new tools for scientific networking</title>
<link>http://www.drugdiscoverytoday.com/view/6464/drug-discovery-in-the-era-of-facebooknew-tools-for-scientific-networking/</link>
<description>This article is involved with the impact that social networking is beginning to make on drug discovery process. While bioinformaticsand chemoinformatics underpin research at a scientific level, rapid communication between individual researchers across continents now allows the global exchange of ideas, tools and technologies.Networking at this level of speed and reach is quite a recent phenomenon. It facilitates the developmentof common interests, accelerates technology transfer and increases cooperative and competitive behaviour. The article critically evaluates different web-based networking approaches as effectivere sources for the drug discovery scientist. </description>
<pubDate>Thu, 14 Jan 2010 13:40:00 GMT</pubDate>
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<title>Drug Discovery Today: highlighted review. ‘Metabolite-likeness’ as a criterion in the design and selection of pharmaceutical drug libraries</title>
<link>http://www.drugdiscoverytoday.com/view/3154/drug-discovery-today-highlighted-review-metabolitelikeness-as-a-criterion-in-the-design-and-selection-of-pharmaceutical-drug-libraries/</link>
<description>This highlighted review from Drug Discovery Today by Dobson, Patel and Kell outlines how &quot;metabolite-likeness&quot; in an analogous manner to &quot;drug-likeness&quot; and &quot;lead-likeness&quot; can be used to improve the value of compound libraries design by incorporating features of endogenous metabolites (&quot;endogenites&quot;)</description>
<pubDate>Tue, 11 Aug 2009 00:00:00 GMT</pubDate>
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<title>Drug Discovery Today Citation Classic: The growing impact of click chemistry on drug discovery. </title>
<link>http://www.drugdiscoverytoday.com/view/3132/drug-discovery-today-citation-classic-the-growing-impact-of-click-chemistry-on-drug-discovery-/</link>
<description>Welcome to the first article in Drug Discovery Today Citation Classics. I would say that it is very hard to predict what articles will make citation classic articles, but I suppose that having a Nobel Prize-winning author and a topic of great significance to the field of synthetic medicinal chemistry is a pretty good start. </description>
<pubDate>Mon, 10 Aug 2009 00:00:00 GMT</pubDate>
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<title>Most downloaded review Q1 2009: Target discovery from data mining approaches </title>
<link>http://www.drugdiscoverytoday.com/view/3138/most-downloaded-review-q1-2009-target-discovery-from-data-mining-approaches-/</link>
<description>The most downloaded review article from Drug Discovery Today from the first quarter of 2009 deals with the topic of target discovery from the informatics perspective. It would be difficult to overstate the value to Pharma of identifying and validating the most relevant therapeutic targets. In this article, Yang, Adelstein and  Kassis  outline text mining, its value and limitations and application to target discovery. In addition, they cover the field of emerging and integrated data mining approaches.</description>
<pubDate>Mon, 10 Aug 2009 00:00:00 GMT</pubDate>
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