RNADiffFold: generative RNA secondary structure prediction using discrete diffusion models
Zhen Wang, Yizhen Feng, Qingwen Tian, Ziqi Liu, Pengju Yan, Xiaolin Li · 2024
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Description
Ribonucleic acid (RNA) molecules are essential macromolecules that perform diverse biological functions in living beings. Precise prediction of RNA secondary structures is instrumental in deciphering their complex three-dimensional architecture and functionality. Traditional methodologies for RNA structure prediction, including energy-based and learning-based approaches, often depict RNA secondary structures from a static perspective and rely on stringent a priori constraints.
Catalog record
| CREATOR | Zhen Wang, Yizhen Feng, Qingwen Tian, Ziqi Liu, Pengju Yan, Xiaolin Li |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |