RaptGen-Assisted Generation of an RNA/DNA Hybrid Aptamer Against SARS-CoV-2 Spike Protein
Overview
Authors
Affiliations
Optimization of aptamers in length and chemistry is crucial for industrial applications. Here, we developed aptamers against the SARS-CoV-2 spike protein and achieved optimization with a deep-learning-based algorithm, RaptGen. We conducted a primer-less SELEX against the receptor binding domain (RBD) of the spike with an RNA/DNA hybrid library, and the resulting sequences were subjected to RaptGen analysis. Based on the sequence profiling by RaptGen, a short truncation aptamer of 26 nucleotides was obtained and further optimized by a chemical modification of relevant nucleotides. The resulting aptamer is bound to RBD not only of SARS-CoV-2 wildtype but also of its variants, SARS-CoV-1, and Middle East respiratory syndrome coronavirus (MERS-CoV). We concluded that the RaptGen-assisted discovery is efficient for developing optimized aptamers.
Molina Ramirez S, Samiseresht N, Martinez-Roque M, Catania F, Graef K, Rabe M Biosensors (Basel). 2025; 15(1).
PMID: 39852074 PMC: 11763500. DOI: 10.3390/bios15010024.