HHV-6B

HHV-6B U38

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 UL30 P04293 0.77
HSV-2 UL30 P89453 0.77
VZV ORF28 P09252 0.80
MDV MDV043 Q9E6N9 n/a
PrV UL30 G3G8Q9 n/a
HCMV UL54 Q6SW77 0.76
RCMV E54 K7XWA3 n/a
HHV-6A U38 P28857 0.84
HHV-6B U38 Q9QJ32 0.84
HHV-7 U38 O92827 0.84
EBV BALF5 P03198 0.84
KSHV ORF9 Q2HRD0 0.83
MHV68 ORF9 O41930 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