Data mart construction based on semantic annotation of scientific articles: A case study for the prioritization of drug targets.

Background And Objectives: Semantic text annotation enables the association of semantic information (ontology concepts) to text expressions (terms), which are readable by software agents. In the scientific scenario, this is particularly useful because it reveals a lot of scientific discoveries that are hidden within academic articles. The Biomedical area has more than 300 ontologies, most of them composed of over 500 concepts.

Proteomic and bioinformatic analysis of Trypanosoma cruzi chemotherapy and potential drug targets: new pieces for an old puzzle.

Chagas disease is endemic in Latin America and is caused by the protozoan hemoflagellate parasite Trypanosoma cruzi. Nowadays, it has also been disseminated to non-endemic countries due to the ease of global mobility. The nitroheterocycle benznidazole is currently used to treat this neglected tropical disease, although this drug causes severe side effects and has limited efficacy during the chronic phase of the disease.