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Title:
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GRID COMPUTING ENABLED IDENTIFICATION OF ACTIVE MOLECULES AGAINST TARGETS IMPLICATED IN MALARIA |
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Author(s):
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Ana Lucia Da Costa , Vinod Kasam , Jean Salzemann , Vincent Bloch , Gianluca Degliesposti , Giulio Rastelli , Hee Young Kang , Doman Kim , Nadia Saidani , Eric Marechal , Astrid Maas , Vincent Breton |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Type:
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Poster/Demonstration |
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First Page:
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472 |
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Last Page:
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472 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Malaria, potentially dreadful tropical disease caused by a parasite from the genus of Plasmodium, threatens
the lives of more than one third of the worlds population and kills one million people every year. But this
leading global health problem is traditionally ignored by the pharmaceutical industries as it is restricted to
mainly poor and developing countries and also due to heavy costs (~$800 million) involved in the drug
discovery activities. Virtual screening allows, in cost-effective way, rapid and reliable in silico selection of
best candidate drugs acting against a given protein. |
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