The world's scientific and social network for malaria professionals
Subscribe to free Newsletter | 10447 malaria professionals are enjoying the free benefits of MalariaWorld today

enzyme

Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico

June 1, 2011 - 14:34 -- Patrick Sampao
Author(s): 
Segun Fatumo, Kitiporn Plaimas, Ezekiel Adebiyi, Rainer König
Reference: 
Infection, Genetics and Evolution, Volume 11, Issue 4, June 2011, Pages 708-715

Plasmodium falciparum causes the most severe malaria pathogen and has developed resistance to existing drugs making it indispensable to discover new drugs. In order to predict drug targets in silico, a useful model for the metabolism is needed.

Medical Condition: 
Medical Treatment: 

Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico

December 20, 2010 - 09:48 -- Patrick Sampao
Author(s): 
Segun Fatumo, Kitiporn Plaimas, Ezekiel Adebiyi, Rainer König
Reference: 
Infection, Genetics and Evolution, Volume 11, Issue 1, January 2011, Pages 201-208

Comparing the modeling results with a comprehensive list of known drug targets for P. falciparum, showed that we had the best discovery success with a network model consisting only of enzymes from the parasite alone which coding genes were known.

Technology: 
Person: 
Medical Condition: 
Medical Treatment: 
Subscribe to RSS - enzyme