Deciphering peculiar protein-protein interacting modules in Deinococcus radiodurans
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* Corresponding author: Karim Mezhoud kmezhoud@gmail.com
Unit of Microbiology and Molecular Biology, National Center for Nuclear Sciences and Technologies (CNSTN), Sidi Thabet Technopark, 2020, Ariana, Tunisia
Biology Direct 2009, 4:12 doi:10.1186/1745-6150-4-12
Published: 8 April 2009Additional files
Additional File 1:
The list of the 58 Orthologs.
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Additional File 2:
SAM T_08 blast result: Best-scoring hits from combining t06 t04 t2k version. If the E-value is poor (greater than 1.0e-02, for example), then the model should be regarded as speculative [15-18].
Format: XLS Size: 44KB Download file
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Additional File 3:
Blast result of 58 Deinococcus radiodurans proteins with the DIP database (dipall20081009.tab.; 78912 interactions).
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Additional File 4:
Interactomes of 9 proteins from the DIP database. Each protein is represented by a square (node), according to its identity in the DIP database. The 9 proteins of interest are represented by a bigger square. Interaction is represented by Edge. Protein-protein interaction data were extracted from the DIP database. Networks were grouped by biological processes. Groups were implicated respectively in signal transduction, DNA checkpoint in G1/S, DNA repair and nucleotide metabolism.
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Additional File 5:
Interactomes of the 9 proteins using the DIP database.
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Additional File 6:
Interactomes of the 58 proteins under positive selection in ionizing radiation-resistant bacteria (IRRB) but absent in all ionizing radiation-sensitive bacteria (IRSB). SCOP domains were represented by octagons. Union of octagons represent proteins with multiple domains. Protein-protein interactions were represented by edges. Data on interaction domains were extracted from the PSIBASE 1.71 database. Network interactions were grouped by biological processes. Groups were involved respectively in electron transport and oxidoreduction (A), DNA repair (B), Energy metabolism (C) and beta-lactam resistance (D).
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