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In Silico Screening Based on Predictive Algorithms as a Design Tool for Exon Skipping Oligonucleotides in Duchenne Muscular Dystrophy

In Silico Screening Based on Predictive Algorithms as a Design Tool for Exon Skipping Oligonucleotides in Duchenne Muscular Dystrophy
Duchenne muscular dystrophy (DMD) is a genetic disorder leading to muscle degeneration. This study introduces a predictive computational model for exon skipping therapy, achieving 89% accuracy for PMOs and 76% accuracy for 2’-O-Methyl RNA, aiding in oligonucleotide selection.
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