TABLE 3.
Calculation of PyNNFV value for SARS-CoV-2.
| Parameter | TT | TC | CT | CC |
| PyNNsa | 2454 | 1020 | 881 | 535 |
| PyNNs flanked with purinea | 773 (ATT) | 324 (ATC) | 298 (ACT) | 281 (ACC) |
| 412 (TTA) | 250 (TCA) | 244 (CTA) | 90 (CCA) | |
| 530 (GTT) | 174 (GTC) | 187 (GCT) | 84 (GCC) | |
| 230 (TTG) | 37 (TCG) | 91 (CTG) | 10 (CCG) | |
| Total PyNNs flanked with purine | 1945 | 785 | 820 | 472 |
| PyNNs flanked without purine | 509 | 235 | 61 | 63 |
| Probability of each PyNNb | 1481.5 | 627.5 | 471 | 299 |
| PyNNs(%)c | 4.956341 | 2.099294 | 1.575725 | 1.000301 |
| Genome size | 29891 | |||
| PyNNFV | 0.000555 |
aValues are counted using exclusive method (once one doublet or triplet is located in the genome, it is excluded from participating in other dimers).
bOverall probability of each PyNN is calculated by considering 50% probability (0.5) for PyNNs flanked with purine and 100% probability (1.0) for PyNNs flanked without purine.
cPyNNs% was determined by calculating the% of probability of PyNNs in total genome.