HHV-7

HHV-7 U28

Predicted structure model: ColabFold (3x recycles).

The model was generated using ColabFold with 3 recycles.

Predicted Structure (ColabFold (3x recycles))
Predicted Aligned Error (PAE) Click image to open full size
Predicted Aligned Error (PAE)
Structural Homologs
Virus Protein Uniprot pTM
HSV-1 UL39 P08543 0.74
HSV-2 UL39 P89462 0.73
VZV ORF19 P09248 0.93
MDV MDV052 Q77MS1 n/a
PrV UL39 G3G963 n/a
HCMV UL45 Q6SW87 0.67
RCMV E45 K7XW93 n/a
HHV-6A U28 P52343 0.80
HHV-6B U28 Q9QJ39 0.76
HHV-7 U28 Q77Y78 0.77
EBV BORF2 P03190 0.86
KSHV ORF61 Q2HR67 0.88
MHV68 ORF61 O41962 n/a

This page uses Mol* for molecular visualization, with JSmol as a fallback when WebGL is unavailable.

Predictions were run with Colabfold by the Steinegger lab:
Mirdita M, Schutze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. "ColabFold: Making protein folding accessible to all". Nature Methods (2022) doi: 10.1038/s41592-022-01488-1

Foldseek is developed by the Steinegger lab:
van Kempen M, Kim S, Tumescheit C, Mirdita M, Soding J, and Steinegger M. "Fast and accurate protein structure search with Foldseek". Nature Biotechnology (2023) doi: 10.1038/s41587-023-01773-0

Alphafold2 was developed by Deepmind:
Jumper et al. "Highly accurate protein structure prediction with AlphaFold." Nature (2021) doi: 10.1038/s41586-021-03819-2

Signal peptide predictions were performed with DeepTMHMM
Jeppe Hallgren, Konstantinos D. Tsirigos, Mads Damgaard Pedersen, Jose Juan Almagro Armenteros, Paolo Marcatili, Henrik Nielsen, Anders Krogh, Ole Winther. "DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks." bioRxiv (2022) doi: 10.1101/2022.04.08.487609

AlphaFold3 models were generated through the Alphafold Server, which uses Google DeepMind's AlphaFold technology
Abramson J, et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature (2024). doi: 10.1038/s41586-024-07487-w