Genetically modified crops, engineered to express the EPSPS CP4 enzyme for glyphosate herbicide resistance, have become integral to modern agriculture. This study employs an in-silico approach to comprehensively assess the safety of the EPSPS CP4 single event in GM crops, focusing on potential unintended effects at the molecular and systemic levels. Utilizing advanced bioinformatics tools and predictive modelling, we analysed the amino acid sequence of the introduced protein and predict its potential allergenicity, antigenicity, and structural stability. Our findings contribute to the ongoing dialogue on the safety of GM crops by providing a comprehensive in silico evaluation of the EPSPS CP4 single event. The present computational evaluation was carried out employing a sequential decision-making process, as advised by the CAC Guidelines. A total of seven databases were employed as omics tools. NCBI database was utilized to investigate the history of safe use of the transgene. The result from the FASTA 36 search did not meet any of the criteria for cross-reactivity as described by Aalberse. Further investigation using the 80mer, 8 and 6 amino acid exact word match also showed a high level of dissimilarity between the CP4SPSS query sequence and any of the subject toxic or allergenic sequences
Key words: Genetically Modified Crops, In Silico, EPSPS CP4, Bioinformatics
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