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Copyright ©The Author(s) 2021.
World J Virol. Nov 25, 2021; 10(6): 288-300
Published online Nov 25, 2021. doi: 10.5501/wjv.v10.i6.288
Table 1 List of some important computational methods of protein-protein interaction prediction along with their brief descriptions
MethodDescriptionRef.
In silico two-hybrid (I2H)The I2H method is based on the detection of direct physical associations between the interacting proteins and it relies on the presumption that in order to maintain the protein function reliable, the interacting proteins should go through coevolutionPazos and Valencia[38]
Ortholog-based approachIt is a sequence-based approach that uses a pairwise local search algorithm to obtain the similarities between the query protein pairs and the known interaction pairs. It is dependent upon the homologous nature of the target proteinsLee et al[39]
Gene fusionAlso known as Rosetta stone method. According to this method, some of the proteins with single domains fuse together in one organism and form a multi-domain protein in another organismEnright et al[40]
Domain-pairs-based approachThis method predicts the interactions between proteins by the domain-domain interactionsWojcik and Schächter[41]
Gene expressionAn indirect way to predict PPIs. Based on the concept that the proteins translated from the genes that belong to the common expression profiling clusters more likely interact with each other than the proteins translated from the genes that belong to different clustersGrigoriev[42]
Structure-based approachesIt predicts protein-protein interactions based on the structural similarityZhang et al[43]
Phylogenetic treeThis method predicts protein-protein interactions based on the concept that the interacting proteins show similarity in their evolution historySato et al[44]
Table 2 List of popular protein-protein interaction databases with total numbers of interactions and last updated time
PPI databaseURLTotal interactionsLast updatedRef.
STRINGhttp://string-db.org/> 2000 mio2020Szklarczyk et al[50]
BioGridhttp://thebiogrid.org/17469222021Oughtred et al[47]
HPIDBhttps://hpidb.igbb.msstate.edu/index.html697872019Ammari et al[51]
MINThttps://mint.bio.uniroma2.it/1316952012Zahiri et al[3] and Licata et al[55]
DIPhttps://dip.doe-mbi.ucla.edu/dip/Main.cgi819232017Zahiri et al[3] and Salwinski et al[56]
IntActhttp://www.ebi.ac.uk/intact/11305962020Orchard et al[52]
HPRDhttp://www.hprd.org/413272010Zahiri et al[3] and Keshava Prasad et al[57]