UPF0182 protein Dred_1797
AF-A4J5G9-F1-v4
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Predicted aligned error (PAE)
Click and drag a box on the PAE viewer to select regions of the structure and highlight them on the 3D viewer.
PAE data is useful for assessing inter-domain accuracy – go to Help section below for more information.
Start a structural similarity search to discover similar proteins.
AlphaFold database protein sequences clustered by the MMseqs2 algorithm (Steinegger M. and Soeding J., Nat. Commun. 9, 2018). Each cluster is comprised of sequences that fulfil two criteria: maintaining a maximum sequence identity of 50% and achieving a 90% bi-directional sequence overlap with the longest sequence of the cluster representative.
AFDB accession | Description | Species | Sequence length | Average pLDDT |
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AFDB accessionAF-D2RIA3-F1 | Description UPF0182 protein Arcpr_0967 UPF0182 protein Arcpr_0967 | SpeciesArchaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18) Archaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18)... Archaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18) | Sequence length 861 | Average pLDDT 92.12 |
AFDB accessionAF-A0A432R794-F1 | Description UPF0182 protein DSY80_01460 UPF0182 protein DSY80_01460 | SpeciesDesulfocapsa sp Desulfocapsa sp | Sequence length 875 | Average pLDDT 91.75 |
AFDB accessionAF-A0A7J4ESV0-F1 | Description UPF0182 protein EYP30_02110 UPF0182 protein EYP30_02110 | SpeciesArchaeoglobaceae archaeon Archaeoglobaceae archaeon | Sequence length 882 | Average pLDDT 91.19 |
AFDB accessionAF-A0A6G2L670-F1 | Description UPF0182 protein GLV99_12970 UPF0182 protein GLV99_12970 | SpeciesVirgibacillus massiliensis Virgibacillus massiliensis | Sequence length 877 | Average pLDDT 91.19 |
AFDB accessionAF-A0A497RGZ0-F1 | Description UPF0182 protein DRO97_06365 UPF0182 protein DRO97_06365 | SpeciesArchaeoglobales archaeon Archaeoglobales archaeon | Sequence length 879 | Average pLDDT 91.06 |
AFDB accessionAF-N0BK89-F1 | Description UPF0182 protein Asulf_00910 UPF0182 protein Asulf_00910 | SpeciesArchaeoglobus sulfaticallidus PM70-1 Archaeoglobus sulfaticallidus PM70-1... Archaeoglobus sulfaticallidus PM70-1 | Sequence length 875 | Average pLDDT 91.06 |
AFDB accessionAF-A0A0Q0W009-F1 | Description UPF0182 protein APR56_12075 UPF0182 protein APR56_12075 | SpeciesMethanosaeta sp. SDB Methanosaeta sp. SDB | Sequence length 877 | Average pLDDT 91.06 |
AFDB accessionAF-A0A556PQ87-F1 | Description UPF0182 protein FPQ13_04425 UPF0182 protein FPQ13_04425 | SpeciesAllobacillus sp. SKP4-8 Allobacillus sp. SKP4-8 | Sequence length 893 | Average pLDDT 90.94 |
AFDB accessionAF-D2RHJ4-F1 | Description UPF0182 protein Arcpr_0705 UPF0182 protein Arcpr_0705 | SpeciesArchaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18) Archaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18)... Archaeoglobus profundus (strain DSM 5631 / JCM 9629 / NBRC 100127 / Av18) | Sequence length 875 | Average pLDDT 90.94 |
AFDB accessionAF-A0A662VV96-F1 | Description UPF0182 protein DRP05_05205 UPF0182 protein DRP05_05205 | SpeciesArchaeoglobales archaeon Archaeoglobales archaeon | Sequence length 877 | Average pLDDT 90.94 |
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How to interpret the Predicted Aligned Error
The Predicted Aligned Error (PAE) measures the confidence in the relative position of two residues within the predicted structure, providing insight into the reliability of relative position and orientations of different domains. Consider the human protein encoded by the gene GNE (Q9Y223). GNE has two distinct domains according to experimentally determined structures in the Protein Data Bank (PDBe-KB). Does AlphaFold confidently predict their relative positions? We can use the interactive Predicted Aligned Error (PAE) plot to answer this question. The PAE plot is not an inter-residue distance map or a contact map. Instead, the shade of green indicates the expected distance error in Ångströms (Å), ranging from 0 Å to an arbitrary cut-off of 31 Å. The colour at (x, y) corresponds to the expected distance error in the residue x’s position when the predicted and the true structures are aligned on residue y. The two low-error, dark green squares correspond to the two domains. By clicking and dragging, you can highlight these squares on the structure. If you want to remove the highlighting, click the cross icon. When selecting an off-diagonal region, the plot visually represents the relationship between the selected ranges on the sequence and structure. The x range corresponds to the selection for scored residues, highlighted in orange, while the y range of aligned residues is highlighted in emerald green. Let’s consider another inter-domain example, the human protein encoded by DIP2B (Q9P265). In this case, we have confidence in the relative position of scored residues around 1450 when aligned with residues around 850, suggesting a packing between the small central domains. Note that the PAE scores are asymmetrical, meaning there might be variations in PAE values between (x,y) and (y,x) positions. This is particularly relevant for loop regions with highly uncertain orientations, as seen on the DNA topoisomerase 3 (Q8T2T7).
A dark green tile corresponds to a good prediction (low error), whereas a light green tile indicates poor prediction (high error). For example, when aligning on residue 300:
The high PAE values across the whole inter-domain region indicate that for this particular protein, AlphaFold does not reliably predict the relative position of the domains.
Last updated
Last updated in AlphaFold DB version 2022-11-01, created with the AlphaFold Monomer v2.0 pipeline.
Licence and attribution
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If you make use of an AlphaFold prediction, please cite the following papers: Jumper, J et al. Highly accurate protein structure prediction with AlphaFold. Nature (2021).
Varadi, M et al. AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences. Nucleic Acids Research (2024).
If you use data from AlphaMissense in your work, please cite the following paper: Cheng, J et al. Accurate proteome-wide missense variant effect prediction with AlphaMissense. Science (2023).
AlphaFold Data Copyright (2022) DeepMind Technologies Limited.
AlphaMissense Copyright (2023) DeepMind Technologies Limited.
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