title: Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria.
abstract: BACKGROUND
  Up to half a billion human clinical cases of malaria are reported each year, resulting in about 2.7 million deaths, most of which occur in sub-Saharan Africa. Due to the over-and misuse of anti-malarials, widespread resistance to all the known drugs is increasing at an alarming rate. Rational methods to select new drug target proteins and lead compounds are urgently needed. The Discovery system provides data mining functionality on extensive annotations of five malaria species together with the human and mosquito hosts, enabling the selection of new targets based on multiple protein and ligand properties.
  
  
  METHODS
  A web-based system was developed where researchers are able to mine information on malaria proteins and predicted ligands, as well as perform comparisons to the human and mosquito host characteristics. Protein features used include: domains, motifs, EC numbers, GO terms, orthologs, protein-protein interactions, protein-ligand interactions and host-pathogen interactions among others. Searching by chemical structure is also available.
  
  
  RESULTS
  An in silico system for the selection of putative drug targets and lead compounds is presented, together with an example study on the bifunctional DHFR-TS from Plasmodium falciparum.
  
  
  CONCLUSIONS
  The Discovery system allows for the identification of putative drug targets and lead compounds in Plasmodium species based on the filtering of protein and chemical properties.
authors: Bioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Pretoria, South Africa. fourie.joubert@up.ac.za
authors: Fourie
authors: F
authors: Joubert
authors: Claudia M
authors: CM
authors: Harrison
authors: Riaan J
authors: RJ
authors: Koegelenberg
authors: Christiaan J
authors: CJ
authors: Odendaal
authors: Tjaart A P
authors: TA
authors: de Beer
mesh_terms: D000818:Animals; D009033:Culicidae; D016208:Databases, Factual; D030562:Databases, Protein; D055808:Drug Discovery / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D016778:Malaria, Falciparum; D010963:Plasmodium falciparum / Q000235:genetics*; D015800:Protozoan Proteins / Q000737:chemistry / Q000235:genetics / Q000502:physiology*
chemical_list: D015800:Protozoan Proteins