Mutation detail:
| Mutation site | G212D |
| Virus | SARS-CoV-2 |
Mutation level  |
Amino acid level |
| Gene/protein/region type | ORF1ab(NSP2) |
| Gene ID | 43740578 |
| Country | - |
| Mutation type |
nonsynonymous mutation |
| Genotype/subtype/clade | - |
| Sample |
Human |
| Variants | - |
| Viral reference sequence | NC_045512.2 |
| Drug/antibody/vaccine | - |
| Transmissibility |
- |
| Transmission mechanism | - |
| Pathogenicity |
- |
| Pathogenicity mechanism | - |
| Immune escape mutation | - |
| Immune escape mechanism | - |
| RT-PCR primers probes | - |
Protein detail:
| Protein name | ORF1ab polyprotein |
| Uniprot protein ID | P0DTC1 |
| Protein length | 7096 amino acids |
| Protein description | ORF1ab, the largest gene, contains overlapping open reading frames that encode polyproteins PP1ab and PP1a. The polyproteins are cleaved to yield 16 nonstructural proteins, NSP1-16. Production of the longer (PP1ab) or shorter protein (PP1a) depends on a -1 ribosomal frameshifting event. The proteins, based on similarity to other coronaviruses, include the papain-like proteinase protein (NSP3), 3C-like proteinase (NSP5), RNA-dependent RNA polymerase (NSP12, RdRp), helicase (NSP13, HEL), endoRNAse (NSP15), 2'-O-Ribose-Methyltransferase (NSP16) and other nonstructural proteins. SARS-CoV-2 nonstructural proteins are responsible for viral transcription, replication, proteolytic processing, suppression of host immune responses and suppression of host gene expression. The RNA-dependent RNA polymerase is a target of antiviral therapies. |
Literature information:
| Pubmed ID | 34356077 |
| Clinical information | No |
| Disease | - |
| Published year | 2021 |
| Journal | Genes |
| Title | Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021 |
| Author | Wajdy J Al-Awaida, Baker Jawabrah Al Hourani, Samer Swedan, Refat Nimer, Foad Alzoughool |
| Evidence | Among the identified mutations, NSP2_T153M, NSP14_I42V and Spike_L18F mutations showed a positive correlation to CFR (Figure 2A-C). However, NSP3_T73I and NSP3_Q180H, NSP13_Y541C showed a negative correlation to CFR (Figure 3A-C). Spike_D614G and NSP12_P323L mutations displayed a positive correlation to deaths per million (Figure 4A,B). The NSP3_T1198K, NS8_L84S and NSP12_A97V mutations showed a significant negative correlation to deaths per million (Figure 4C-E). NSP12_P323L and Spike_D614G mutations showed a positive correlation to number of cases per million (Figure 5A,B). However, NS8_L84S and NSP12_A97V mutations showed a negative correlation to the number of Cases per million (Figure 5C,D). |