Abstract
Recent advances have provided a working interactome map for the human malaria parasite Plasmodium falciparum. The aforementioned map, generated from genome-scale analyses, has provided a basis for proteomic studies of the parasite; however, such large-scale approaches commonly suffer from undersampling and lack of coverage. The current map bears no exception, containing only one-quarter of the organism's proteins. Inspired by the needs of the current map and the wealth of bioinformatics data, we assembled a map of 19 979 interactions among 2321 proteins in P. falciparum. The resultant map was generated by computationally inferring protein-protein interactions from evolutionarily conserved protein interactions, underlying domain interactions, and experimental observations. To compile this information into a repository of meaningful data, we assessed interaction quality by applying a logistic regression method, which correlated the presence of an interaction with relevant cellular parameters. Interestingly, it was found that sub-networks from different sources are quite dissimilar in their topologies and overlap to a very small extent. Applying Markov clustering, we observe a typical cluster composition, featuring common cellular functions that were previously reported absent, making this map a valuable resource for understanding the biology of this organism.
Original language | English (US) |
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Pages (from-to) | 1461-1470 |
Number of pages | 10 |
Journal | Journal of Proteome Research |
Volume | 6 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1 2007 |
Externally published | Yes |
Keywords
- Human malaria parasite
- Interactome
- P. falciparum
ASJC Scopus subject areas
- Biochemistry
- Chemistry(all)