Designing Effective small interfering RNA for Post-Transcriptional Silencing of Human GREM1: A Comprehensive Bioinformatics Approach

Asiedu Ebenezer

Here, three designing algorithms and two commercial design software tools were used to design candidate siRNA to target human gremlin-1. The tools are: OligoWalk [25] . The server predicts siRNA candidates based on the free energy changes upon binding of an siRNA to target mRNA and . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.01.23.917559 doi: bioRxiv preprint intrinsic nucleotide sequence characteristics. RNAxs predicts siRNA candidates that satisfy proposed rules for siRNA design and also have target sites that are highly accessible [26] . For the i-score algorithm, a linear regression model examines each siRNA nucleotide, then generate a scoring argument to calculate the inhibitory score (i-score). The scoring argument informs which nucleotides are favored at which positions considering proposed nucleotide-based rules for siRNA design [27] . The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.01.23.917559 doi: bioRxiv preprint