An integrative bioinformatic predictor of protein sub-cellular localisation in malaria
© Woodcroft et al; licensee BioMed Central Ltd. 2011
Published: 21 November 2011
The malarial parasite Plasmodium falciparum remains a leading international cause of mortality, with almost a million deaths each year. Determination of protein sub-cellular localisation remains a challenge in Plasmodium parasites due to their evolutionary distance from well-studied model organisms, and limited efficiency of appropriate molecular tools. However, abundant large scale systems biology information exist for several Plasmodium species as well as other apicomplexan parasites, including full genomic DNA sequences, plus data sets relating to the transcriptome, protein expression and interactions, polymorphisms and phyletic profiles. To date, most bioinformatic predictors of sub-cellular localisation use sequence information exclusively without consideration for other data sets.
Materials and methods
We developed the first global bioinformatic predictor of sub-cellular localisation in Plasmodium falciparum (called Plasmarithm) that predicts localisation for multiple cellular compartments using a variety of post-genomic information types.
Results and conclusions
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.