Determining suitable siRNA and gene network involved in inhibiting ETV۴ gene using bioinformatics methods based on artificial intelligence

Introduction: ETV۴ gene causes the expression of transcription factors involved in metastasis and also increases the expression of metalloproteinase genes such as MMP۱۳, MMP۲, MMP۹. Also, ETV۴ gene can regulate glycolysis metabolism, which is necessary for cancer cells. Researchers believe that inhibition of this gene may be a therapeutic strategy for cancer treatment. One of the ways to suppress the gene is to use siRNA technology, which uses small oligonucleotides of ۲۱ to ۲۳ nucleotides in length to influence the target mRNA and leads to the silence of the desired gene. The aim of this research was to design a suitable siRNA and determine the gene network involved in inhibiting the ETV۴ gene using artificial intelligence based bioinformatics method.Materials and Methods: First, the ETV۴ gene sequence was extracted from the NCBI database, and then the list of siRNA sequences was obtained using the siDirect server. In the next step, the best sequence with the least off-target and the highest score was selected using the nucleotide blast algorithm. Also, inbio-discover server was used to find out the gene network related to the ETV۴ gene.Results: The siDirect server introduced us to five ۲۱ nucleotide sequences with the maximum score and none of them were off-target. The inbio-discover server also designed the gene network related to the ETV۴ gene for us, and showed that SAMD۱۲, SOCS۷ and FOXN۲ genes are closely related to this gene.Conclusion: From this study, it can be concluded that siRNA can be designed for ETV۴ functional gene with online bioinformatics tools based on artificial intelligence. Of course, different in vivo, in vitro and clinical trials should be done to prove the effectiveness of the sequence in silencing this promise.