Article Dans Une Revue Acta crystallographica Section D : Structural biology [1993-...] Année : 2025

Has AlphaFold 3 achieved success for RNA?

Résumé

Predicting the 3D structure of RNA is a significant challenge despite ongoing advancements in the field. Although AlphaFold has successfully addressed this problem for proteins, RNA structure prediction raises difficulties due to the fundamental differences between proteins and RNA, which hinder its direct adaptation. The latest release of AlphaFold , AlphaFold 3, has broadened its scope to include multiple different molecules such as DNA, ligands and RNA. While the AlphaFold 3 article discussed the results for the last CASP-RNA data set, the scope of its performance and the limitations for RNA are unclear. In this article, we provide a comprehensive analysis of the performance of AlphaFold 3 in the prediction of 3D structures of RNA. Through an extensive benchmark over five different test sets, we discuss the performance and limitations of AlphaFold 3. We also compare its performance with ten existing state-of-the-art ab initio , template-based and deep-learning approaches. Our results are freely available on the EvryRNA platform at https://evryrna.ibisc.univ-evry.fr/evryrna/alphafold3/.
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hal-04919467 , version 1 (29-01-2025)

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Clément Bernard, Guillaume Postic, Sahar Ghannay, Fariza Tahi. Has AlphaFold 3 achieved success for RNA?. Acta crystallographica Section D : Structural biology [1993-..], 2025, 81 (2), ⟨10.1107/S2059798325000592⟩. ⟨hal-04919467⟩

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