IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis

Area of Science:

• Bioinformatics
• Systems Biology
• Computational Biology

Background:

• Protein-protein interaction network (PPIN) reconstruction faces challenges due to false positives/negatives and lack of standardization.
• Existing PPINs limit comparative studies and lead to incompatible outcomes.
• The evolution-based concept of interologs offers a potential benchmark for network reconstruction.

Purpose of the Study:

• To develop a computational tool for reconstructing Interolog Protein Networks (IPNs).
• To enable the integration and comparison of multiple PPINs across different species.
• To provide a standardized and evolutionarily conserved network for biological analysis.

Main Methods:

• Developed the IMMAN R package for IPN reconstruction.
• Integrated multiple existing Protein-protein Interaction Networks (PPINs).
• Implemented methods to mine conserved networks and analyze protein functions based on network conservation.

Main Results:

• The IMMAN package facilitates the unification of diverse PPINs.
• Users can identify conserved networks common to multiple species.
• The tool allows for retrieving IPNs with varying degrees of conservation for functional prediction.

Conclusions:

• Interolog Protein Networks (IPNs) comprise evolutionarily conserved elements with low false positive rates.
• IPNs serve as a gold standard for biological network analysis compared to traditional PPINs.
• The IMMAN package provides a robust approach for generating reliable IPNs.