TABLE 5.
Accuracy of the bioinformatic tools to predict CXCR4 using virus according to CD4 cell count
| Bioinformatic tool | % overall correct (95% CI) |
||
|---|---|---|---|
| CD4 < 200 (n = 40) | CD4 200-500 (n = 64) | CD4 > 500 (n = 33) | |
| Geno2pheno 1% | 61.8 (51.6-66.6) | 87.7 (83.2-87.7) | 70.4 (64.5-70.4) |
| Geno2pheno 2.5% | 64.7 (53.0-69.5) | 89.5 (83.8-89.5) | 70.4 (64.5-70.4) |
| Geno2pheno 5% | 67.6 (53.5-75.9) | 86.0 (78.6-92.0) | 66.7 (60.7-72.6) |
| Geno2pheno 10% | 67.6 (51.7-79.9) | 78.9 (70.0-85.4) | 70.4 (60.4-76.4) |
| Geno2pheno 15% | 73.5 (57.2-85.2) | 73.7 (64.6-80.2) | 74.1 (61.5-80.1) |
| Geno2pheno 20% | 76.5 (60.2-86.8) | 68.4 (59.3-74.9) | 77.8 (61.8-87.7) |
| PSSMX4R5 | 73.5 (58.3-81.7) | 87.7 (80.6-92.5) | 70.4 (64.5-70.4) |
| PSSMsinsi | 76.5 (61.0-84.6) | 80.7 (75.8-87.7) | 70.4 (64.5-70.4) |
| 11/25 rule | 67.6 (53.5-75.9) | 77.2 (74.3-84.6) | 70.4 (64.5-70.4) |
| 11/24/25 rule | 67.6 (53.5-75.9) | 75.4 (72.6-83.3) | 74.1 (64.6-74.1) |
| Net charge rule | 73.5 (57.2-85.2) | 77.2 (69.6-85.3) | 59.3 (49.0-73.8) |