Because genes and proteins are functioning in complex networks and interactions, one molecule may influence other cellular elements in a broad range. These interactions can be studied in “interactomes”, a term referring to the protein-protein interaction networks (Chautard et al., 2009).

Novel technologies such as those using high-throughput (HTP) approaches and the analysis of interaction datasets would be useful for understanding these interactomes. These approaches can be applied to identify new interactions in complex disorders such as neurodegenerative diseases (NDs) (Vlasblom et al., 2014).

The network interactions can be detected at various levels, including molecular proteasome, cellular mitochondrion, and the entire organisms from bacteria to the human being (Chautard et al., 2009). With the better understanding of the signaling pathways, functional interactions, and physiological activities, such detections would enhance the discovery of novel drug targets for more effective treatments.


Chautard E, Thierry-Mieg N, Ricard-Blum S. Interaction networks: from protein functions to drug discovery. A review. Pathol Biol (Paris). 2009 Jun;57(4):324-33. doi: 10.1016/j.patbio.2008.10.004.

Vlasblom J, Jin K, Kassir S, Babu M. Exploring mitochondrial system properties of neurodegenerative diseases through interactome mapping. J Proteomics. 2014 Apr 4;100:8-24. doi: 10.1016/j.jprot.2013.11.008.

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