DIFFERENT APPROACHES FOR STUDYING PROTEIN-PROTEIN INTERACTION AND ANALYSIS

Proteins interact in the cellular arena to carry out a majority of the vital functions of the cells. After exploring the transcriptome, the researchers are now targeting to investigate the interactome of a cell. This can help to design more efficient drug and vaccine formulations and therapeutic targets benefiting humankind in every possible way. Advancement in protein and protein networking databases gives the first insight to study such macromolecular interactions paving the way for their in-vitro and in-vivo analysis. However, none of the technique can promise 100% efficiency alone due to some limitations like time, cost, and false positive results. Combination of one or more techniques can enhance data quality and reliability. Recent advancements in the studies of the protein-protein interaction using computational methods have led the identification of different signaling pathways and protein complex involved in various specific diseases. However, the major challenge faced is to verify the results obtained from the virtual prediction software's. In this review, we have focused on how different techniques have been accustomed so far to determine the interaction between and among proteins of the target complex or same metabolic/signaling pathway.