Cargando…
LinearTurboFold: Linear-Time Global Prediction of Conserved Structures for RNA Homologs with Applications to SARS-CoV-2
The constant emergence of COVID-19 variants reduces the effectiveness of existing vaccines and test kits. Therefore, it is critical to identify conserved structures in SARS-CoV-2 genomes as potential targets for variant-proof diagnostics and therapeutics. However, the algorithms to predict these con...
Autores principales: | Li, Sizhen, Zhang, He, Zhang, Liang, Liu, Kaibo, Liu, Boxiang, Mathews, David H., Huang, Liang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609897/ https://www.ncbi.nlm.nih.gov/pubmed/34816262 http://dx.doi.org/10.1101/2020.11.23.393488 |
Ejemplares similares
-
LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2
por: Li, Sizhen, et al.
Publicado: (2021) -
LinearCoFold and LinearCoPartition: linear-time algorithms for secondary structure prediction of interacting RNA molecules
por: Zhang, He, et al.
Publicado: (2023) -
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search
por: Huang, Liang, et al.
Publicado: (2019) -
LazySampling and LinearSampling: fast stochastic sampling of RNA secondary structure with applications to SARS-CoV-2
por: Zhang, He, et al.
Publicado: (2022) -
LinearPartition: linear-time approximation of RNA folding partition function and base-pairing probabilities
por: Zhang, He, et al.
Publicado: (2020)