HCMV

HCMV UL100

Predicted structure model: ColabFold (3x recycles).

The model was generated using ColabFold with 3 recycles.

Using DeepTMHMM, this protein was identified to contain a signal peptide and a transmembrane domain.

The transmembrane domain spans residues: 16-34, 77-97, 126-143, 153-173, 201-221, 236-254, 267-285, 298-316

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 UL10 P04288 0.71
HSV-2 UL10 P89433 0.72
VZV ORF50 P09298 0.77
MDV MDV022 Q9E6Q6 n/a
PrV UL10 G3G986 n/a
HCMV UL100 Q6SW43 0.77
RCMV E100 K7YA63 n/a
HHV-6A U72 Q04630 0.82
HHV-6B U72 P52449 0.82
HHV-7 U72 Q77Y52 0.82
EBV BBRF3 P03215 0.76
KSHV ORF39 F5HDD0 0.75
MHV68 ORF39 O41956 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