An In Silico Approach for Identification of P20 Candidate using Bioinformatics Tool

Abstract

Background: Parthenium hysterophorus is a species of flowering plant in the family Asteraceae, locally known
as carrot grass, congress grass, or Gajar Ghas. Objective: The study was aimed to investigate which orthologues
of P. hysterophorus genes that might encode the P20 protein. Methods: Low-abundance proteins were found after
fractionating P. hysterophorus leaf proteins in polyethylene glycol. Samples treated at −80°C shortened the time
needed for protein to precipitate to 2 h. In addition, sonication was employed to remove non-protein impurities,
which elevated protein solubility and enhanced MALDI-TOF mass spectrometry for protein identification.
Results: Tryptic digest of purified protein revealed that the predicted size of the protein is ~20kDa by MALDI-TOF
and identification of peptides present in the P20 protein by peptide sequence analysis. Conclusion: This study
describes how a combination of bioinformatics and proteomics approaches led to the identification of novel P20
candidates.