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Table 1 Patient demographic details and predicted HIV-1 subtype C co-receptor tropism

From: Co-receptor tropism prediction among 1045 Indian HIV-1 subtype C sequences: Therapeutic implications for India

Patient demographic details HIV-1 Co-receptor Tropism
No Patient ID Age Sex Time since sero-diagnosis (months) CD4 Count (cells/mm 3 ) Disease Stage WebPSSM (C-PSSM) Geno2pheno (ds)Kernel
        Score Tropism   
1. SJNAHS01 33 M 43 223 2nd -29.39 R5 R5 R5
2. SJNAHS02 53 F 4 247 2nd -29.97 R5 R5 R5
3. SJNAHS03 30 M 46 173 2nd -23.28 R5 R5 R5
4. SJNAHS04 37 M 63 538 1st -16.09 X4 R5 R5
5. SJNAHS06 36 F 1 122 3rd -23.32 R5 R5 R5
6. SJNAHS07 26 F 1 384 1st -29.97 R5 R5 R5
7. SJNAHS09 38 F 1 356 3rd -25.74 R5 R5 R5
8. SJNAHS10 38 M 105 438 3rd -25.74 R5 R5 R5
9. SJNAHS11 26 M 15 594 1st -29.39 R5 R5 R5
10. SJNAHS12 38 M 22 59 1st -25.74 R5 R5 R5
11. SJNAHS13 36 M 130 77 1st -19.35 X4 X4 R5
12. SJNAHS16 39 M 1 13 4th -29.08 R5 R5 R5
13. SJNAHS17 36 F 1 75 1st -29.05 R5 R5 R5
14. SJNAHS18 60 M 1 99 4th -22.37 R5 R5 R5
15. SJNAHS19 40 M 2 200 1st -22.37 R5 R5 R5
  1. Patient demographic characteristics and predicted co-receptor tropism in the South Indian cohort. CD4 count represents the value at the time of study. Co-receptor tropism was detected using C-PSSM, Geno2pheno and (ds)Kernel method. In C-PSSM a score of above -21.64 was considered predictive of X4-tropism. Disease stage according to WHO classification has been mentioned.