Open AccessA Survey on Prediction of Protein-Protein Interactions
Author(s) -
S. Nivedha,
S. Durga Bhavani
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1937/1/012011
Subject(s) - protein–protein interaction , computational biology , computer science , identification (biology) , process (computing) , drug discovery , field (mathematics) , biochemical engineering , chemistry , bioinformatics , biology , biochemistry , engineering , mathematics , botany , pure mathematics , operating system
Proteins interacts with one other to form complexes for performing the biological process in a cell. Understanding the interactions of proteins helps in recognizing the disease mechanisms. It plays a major part in the catalytic reaction, drug ability of the molecules. The wet-lab methods are tedious and expensive. However, the data that is identified in experimental methods can be processed and used. Advancement in the field led the prediction using computational approaches for signaling pathways and the recognizable proof for specific diseases. Identification of protein-protein interaction offers a way for advancements of therapeutic methods and drug design. In this paper, an analysis of prediction methodologies that are used for protein-protein interactions was described. Experimental methods and six different computational methods were discussed.