Messenger RNA (mRNA)-based vaccines have emerged as rapid and versatile candidates to quickly respond to virus pandemics such as coronavirus disease 2019 (COVID-19). However, mRNA vaccines face key limitations, one of which is the inherent chemical instability. This project will facilitate the prediction and experimental validation of mRNA stabilities to design stable mRNA vaccine to fight against COVID-19.
Related Publications
- He S, Gao B, Sabnis R, Sun Q, Nucleic Transformer: Classifying DNA sequences with Self-attention and Convolutions. ACS Synthetic Biology, 2023. doi:10.1021/acssynbio.3c00154
- He S, Gao B, Sabnis R, Sun Q. RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning. Brief Bioinform. 2023;24(1). doi:10.1093/bib/bbac581
- Bulten W, Kartasalo K, et al. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nat Med. 2022;28(1):154-163. doi:10.1038/s41591-021-01620-2
Qing Sun Lab 