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

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

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	2^nd	-29.39	R5	R5	R5
2.	SJNAHS02	53	F	4	247	2^nd	-29.97	R5	R5	R5
3.	SJNAHS03	30	M	46	173	2^nd	-23.28	R5	R5	R5
4.	SJNAHS04	37	M	63	538	1^st	-16.09	X4	R5	R5
5.	SJNAHS06	36	F	1	122	3^rd	-23.32	R5	R5	R5
6.	SJNAHS07	26	F	1	384	1^st	-29.97	R5	R5	R5
7.	SJNAHS09	38	F	1	356	3^rd	-25.74	R5	R5	R5
8.	SJNAHS10	38	M	105	438	3^rd	-25.74	R5	R5	R5
9.	SJNAHS11	26	M	15	594	1^st	-29.39	R5	R5	R5
10.	SJNAHS12	38	M	22	59	1^st	-25.74	R5	R5	R5
11.	SJNAHS13	36	M	130	77	1^st	-19.35	X4	X4	R5
12.	SJNAHS16	39	M	1	13	4^th	-29.08	R5	R5	R5
13.	SJNAHS17	36	F	1	75	1^st	-29.05	R5	R5	R5
14.	SJNAHS18	60	M	1	99	4^th	-22.37	R5	R5	R5
15.	SJNAHS19	40	M	2	200	1^st	-22.37	R5	R5	R5

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.