Glaxosmithkline Cayse Stud

Glaxosmithkline Cayse Stud

  • Submitted By: nikhil91190
  • Date Submitted: 05/02/2013 10:37 AM
  • Category: Business
  • Words: 421
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GlaxoSmithKline is a major pharmaceutical company that has surrendered all copyrights in its malarial data set, which includes more than 13,500 compounds known to be active against malaria.
"Providing access to this level of information sees GSK set what I would hope to be a new trend that could revolutionise the urgent search for new medicines to tackle malaria. By sharing data, we start to build up a public database of knowledge that should be as powerful as the human genome databases." — Timothy Wells, Chief Scientific Officer of the Medicines for Malaria Venture (http://www.gsk.com/responsibility/access/rnd-neglected-tropical-diseases.htm)
Overview

One of the leading pharmaceutical companies in the world, GlaxoSmithKline has surrendered all copyrights in its malarial data set, which includes more than 13,500 compounds known to be active against malaria. The data set is called Tres Cantos Antimalarial (TCAMS), and is available from the ChEMBL-NTD database, "a repository for Open Access primary screening and medicinal chemistry data directed at neglected diseases - endemic tropical diseases of the developing regions of the Africa, Asia, and the Americas."
License Usage

GlaxoSmithKline has surrendered all copyright in its malaria data set under the CC0 public domain dedication.
Motivations

From GSK's http://www.gsk.com/responsibility/downloads/GSK-CR-2009-full.pdf

"By making this information publicly available, GSK hopes that many other scientists will review this information and analyse the data faster than we could on our own. Hopefully, this will lead to additional research that could help drive the discovery of new medicines. We would also encourage other groups, including academics and pharmaceutical companies, to make their own compounds and related information publicly available.

This is essentially an example of ‘open source’ being applied to drug discovery. We know that data increases in value when connected with other data...

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