AlphaFold, developed by Google DeepMind, won a major protein-structure prediction challenge in 2020, outperforming other models with atomic-level accuracy. This achievement, confirmed during the CASP competition, has established AlphaFold as a key resource in structural biology. Following its triumph, focus shifted in 2022 to RNA structure prediction, a more complex challenge due to historical biases against RNA research. Despite these challenges, researchers are exploring innovative approaches to improve RNA structure determination through computational methods, reflecting the growing importance of this biomolecule.
AlphaFold, a revolutionary computational tool developed by Google DeepMind, achieved atomic-level accuracy in protein structure prediction, revolutionizing research in structural biology.
The biennial CASP challenge has historically pushed scientists to enhance computational models for predicting protein structure, with AlphaFold's winning predictions rivaling experimental techniques.
The 2022 CASP competition shifted focus to RNA, a challenging biomolecule for structural prediction, highlighting the evolving demands of computational biology.
Despite the historical neglect of RNA by researchers, new developments are bridging the gap in structured data, enabling breakthroughs in RNA structural prediction.
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