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Open data
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Basic information
| Entry | Database: PDB / ID: 9yx9 | |||||||||
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| Title | SARS-CoV-2 SL5 rotated junction | |||||||||
Components | RNA (124-MER) | |||||||||
Keywords | RNA / SL5 / SARS-CoV-2 | |||||||||
| Function / homology | : / RNA / RNA (> 10) / RNA (> 100) Function and homology information | |||||||||
| Biological species | ![]() | |||||||||
| Method | ELECTRON MICROSCOPY / single particle reconstruction / cryo EM / Resolution: 6.5 Å | |||||||||
Authors | Kretsch, R.C. / Xu, L. / Chiu, W. / Das, R. | |||||||||
| Funding support | United States, 1items
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Citation | Journal: Proteins / Year: 2026Title: Assessment of Nucleic Acid Structure Prediction in CASP16. Authors: Rachael C Kretsch / Alissa M Hummer / Shujun He / Rongqing Yuan / Jing Zhang / Thomas Karagianes / Qian Cong / Andriy Kryshtafovych / Rhiju Das / ![]() Abstract: Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full ...Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full array of nucleic acid functions, from dopamine binding by DNA to formation of elaborate RNA nanocages, were submitted by 65 groups from 46 different labs worldwide. In contrast to concurrent protein structure predictions, performance on nucleic acids was generally poor, with no predictions of previously unseen natural RNA structures achieving TM-scores above 0.8. Even though automated server performance has improved, all top-performing groups were human expert predictors: Vfold, GuangzhouRNA-human, and KiharaLab. Good performance on one template-free modeling target (OLE RNA) and accurate global secondary structure prediction suggested that structural information can be extracted from multiple sequence alignments. However, 3D accuracy generally appeared to depend on the availability of closely related 3D structure templates, and predictions still did not achieve consistent recovery of pseudoknots, singlet Watson-Crick-Franklin pairs, non-canonical pairs, or tertiary motifs like A-minor interactions. For the first time, blind predictions of nucleic acid interactions with small molecules, proteins, and other nucleic acids could be assessed in CASP16. As with nucleic acid monomers, prediction accuracy for nucleic acid complexes was generally poor unless 3D templates were available. Accounting for template availability, there has not been a notable increase in nucleic acid modeling accuracy between previous blind challenges and CASP16. #1: Journal: bioRxiv / Year: 2025 Title: Assessment of nucleic acid structure prediction in CASP16. Authors: Rachael C Kretsch / Alissa M Hummer / Shujun He / Rongqing Yuan / Jing Zhang / Thomas Karagianes / Qian Cong / Andriy Kryshtafovych / Rhiju Das / ![]() Abstract: Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full ...Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full array of nucleic acid functions, from dopamine binding by DNA to formation of elaborate RNA nanocages, were submitted by 65 groups from 46 different labs worldwide. In contrast to concurrent protein structure predictions, performance on nucleic acids was generally poor, with no predictions of previously unseen natural RNA structures achieving TM-scores above 0.8. Even though automated server performance has improved, all top-performing groups were human expert predictors: Vfold, GuangzhouRNA-human, and KiharaLab. Good performance on one template-free modeling target (OLE RNA) and accurate global secondary structure prediction suggested that structural information can be extracted from multiple sequence alignments. However, 3D accuracy generally appeared to depend on the availability of closely related 3D structures, and predictions still did not achieve consistent recovery of pseudoknots, singlet Watson-Crick-Franklin pairs, non-canonical pairs, or tertiary motifs like A-minor interactions. For the first time, blind predictions of nucleic acid interactions with small molecules, proteins, and other nucleic acids could be assessed in CASP16. As with nucleic acid monomers, prediction accuracy for nucleic acid complexes was generally poor unless 3D templates were available. Accounting for template availability, there has not been a notable increase in nucleic acid modeling accuracy between previous blind challenges and CASP16. | |||||||||
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Structure visualization
| Structure viewer | Molecule: Molmil Jmol/JSmol |
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Downloads & links
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Download
| PDBx/mmCIF format | 9yx9.cif.gz | 756.2 KB | Display | PDBx/mmCIF format |
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| PDB format | pdb9yx9.ent.gz | 643.6 KB | Display | PDB format |
| PDBx/mmJSON format | 9yx9.json.gz | Tree view | PDBx/mmJSON format | |
| Others | Other downloads |
-Validation report
| Arichive directory | https://data.pdbj.org/pub/pdb/validation_reports/yx/9yx9 ftp://data.pdbj.org/pub/pdb/validation_reports/yx/9yx9 | HTTPS FTP |
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-Related structure data
| Related structure data | ![]() 73600MC ![]() 9yxaC M: map data used to model this data C: citing same article ( |
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| Similar structure data | Similarity search - Function & homology F&H Search |
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Links
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Assembly
| Deposited unit | ![]()
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| 1 |
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| Number of models | 10 |
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Components
| #1: RNA chain | Mass: 39807.484 Da / Num. of mol.: 1 / Source method: obtained synthetically Source: (synth.) ![]() References: GenBank: 2168080771 |
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| Has protein modification | N |
-Experimental details
-Experiment
| Experiment | Method: ELECTRON MICROSCOPY |
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| EM experiment | Aggregation state: PARTICLE / 3D reconstruction method: single particle reconstruction |
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Sample preparation
| Component | Name: SARS-CoV-2 SL5 junction rotated / Type: COMPLEX / Entity ID: all / Source: SYNTHETIC |
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| Source (natural) | Organism: ![]() |
| Buffer solution | pH: 8 |
| Specimen | Embedding applied: NO / Shadowing applied: NO / Staining applied: NO / Vitrification applied: YES |
| Vitrification | Cryogen name: ETHANE |
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Electron microscopy imaging
| Experimental equipment | ![]() Model: Titan Krios / Image courtesy: FEI Company |
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| Microscopy | Model: TFS KRIOS |
| Electron gun | Electron source: FIELD EMISSION GUN / Accelerating voltage: 300 kV / Illumination mode: FLOOD BEAM |
| Electron lens | Mode: BRIGHT FIELD / Nominal defocus max: 2600 nm / Nominal defocus min: 1200 nm |
| Image recording | Electron dose: 60 e/Å2 / Film or detector model: FEI FALCON IV (4k x 4k) |
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Processing
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| CTF correction | Type: PHASE FLIPPING AND AMPLITUDE CORRECTION | |||||||||
| 3D reconstruction | Resolution: 6.5 Å / Resolution method: FSC 0.143 CUT-OFF / Num. of particles: 446097 / Symmetry type: POINT |
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United States, 1items
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FIELD EMISSION GUN