Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite

Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite

Malaria is still one of the most proli c communicable diseases in the world with more than 200 million infections annually, its greatest e ect is felt in the poor nations with-in sub-saharan Africa and south-east Asia. It is especially fatal for women and children where out of the 660 000 fatalit...

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Bibliographic Details
Main Author: Szolkiewicz, Michal Jerzy
Other Authors: Joubert, Fourie
Language:en
Published: University of Pretoria 2014
Subjects:
ChEMBL database
TCAMS dataset
Malaria
Prolific communicable diseases
UCTD
Online Access:http://hdl.handle.net/2263/41019
Szolkiewicz, MJ 2014, Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/41019>

Internet

http://hdl.handle.net/2263/41019
Szolkiewicz, MJ 2014, Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/41019>

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