In silico functional and toxicity prediction of Shigella dysenteriae sd197 hypothetical proteins

Abstract

Shigella dysenteriae is a gram-negative bacterium of the family Enterobacteriaceae, which causes Shigellosis, an acute form of gastroentritis in the children. The Sd197 strain of Shigella was fully sequenced, consisting of 1 circular chromosome comprising 4,369,232nt (4,664 genes). The objective of this research is to analyze the function forecast of earlier not allocated proteins in the genome of Shigella dysenteriae strain Sd197 using different bioinformatics instruments and databases. There were 828 hypothetical proteins available in Shigella dysenteriae strain Sd197 genome. These hypothetical proteins were evaluated to estimate their physicochemical characteristics using parameters such as the Theoretical PI, Extinction Coefficient, Aliphatic Index and Grand Hydropathicity Average (GRAVY) in the ProtParam server. It was further analyzed using bioinformatics tools for functional prediction, structural prediction, and virulent prediction. Of the 828 hypothetical proteins, 38 are enzymes, 11 have virulence factor, 85 are hydrolase proteins, 5 are isomerase, 4 are lyase, 8 are ligase proteins etc. This research will promote a stronger knowledge of drug resistance and the mechanism of pathogenesis in S.dysenteriae as well as the discovery of drug targets for disease therapy.