| Theoretical Model:
The protein structure described on this page was determined theoretically, and hence should be interpreted with caution. |
Model Confidence:
Confident (90 > pLDDT > 70)
AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100. Some regions below 50 pLDDT may be unstructured in isolation.
As an example, to the right, is an AlphaFold2 3D model of the SARS CoV-2 Protein N (UniProt ID: QHD43423) color coded by the pLDDT scores. It corresponds to the highest ranked model in terms of the pLDDT confidence scores, i.e., model 5[1], which was developed by Sergey Ovchinnikov, Milot Mirdita and Martin Steinegger.
At present, there a still a number of proteins from the SARS CoV-2 virus whose 3D structures have not yet been experimentally determined. AlphaFold2 was used to predict these structures using the MIT ColabFold server[1]. For each prediction, five 3D models were predicted, ranked from 1 to 5 (with 1 being the best). Views of these AlphaFold2 predictions can be seen on the Proteopedia pages:
SARS-CoV-2 protein M - Component of the viral envelope that plays a central role in virus morphogenesis and assembly via its interactions with other viral proteins[2][3].
SARS-CoV-2 protein N - The primary function of the Nucleocapsid protein (N-protein) is to package the viral genome into a helical ribonucleoprotein (RNP) complex[2][3].
SARS-CoV-2 protein NSP6 - Plays a role in the initial induction of autophagosomes from host reticulum endoplasmic.[2][3].
SARS-CoV-2 protein ORF10 - It is currently unclear whether this region translates into a functional protein.[2][3].
