Research article
Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
1 Programa de Estudio y Control de Enfermedades Tropicales-PECET, Universidad de Antioquia, Calle 62 No 52-59, Lab. 632, Medellín, Colombia
2 Korean BioInformation Center (KOBIC), KRIBB, Daejeon, 305-806, Korea
3 Agilent Technologies, Santa Clara, California, USA
4 Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, USA
5 Grupo de Automática-GAUNAL, Universidad Nacional Sede Medellín, Medellín, Colombia
BMC Bioinformatics 2010, 11:484 doi:10.1186/1471-2105-11-484
Published: 27 September 2010Additional files
Additional file 1:
Cytoscape network of Leishmania interactome. Leishmania major interactome in Cytoscape format with the annotation and topological metrics as Cytoscape attributes.
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Additional file 2:
Table S1: List of targets detected by connectivity and betweenness centrality but not filtered for human homology.
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Additional file 3:
Table S2: Final list of targets, excluding those with human orthologs from table S1.
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Additional file 4:
Table S3: Clusters IDs from the whole network with overrepresented GO codes and p-values.
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Additional file 5:
Table S4: List of hypothetical proteins with predicted biological process derived from the clustering and enrichment analysis.
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Additional file 6:
Table S5: Number of essential genes for each GO Biological process.
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