Name of drug | Background mutations factora
| P (Single seatb) | P (Interaction(181*221)c) |
---|
F value | P | 181 | 221 | T215Y/V179E | T215Y/K103N |
---|
EFV | 93.10 | <0.0001 | 0.0002 (F = 43.20)d
| 0.0598 (F = 4.80)d
| 0.3052 (F = 1.20)d
| 0.0003 (38.12)e
|
0.7404 (F = 0.12)e
| 0.0736 (F = 4.24)e
|
AZT | 1.79 | 0.1968 | <.0001 (F = 25.84) | 0.018 (F = 6.69) | 0.2270 (F = 1.56)f
|
3TC | 7.19 | 0.0148 | 0.0010 (F = 14.94) | 0.5356 (F = 0.40) | 0.2513 (F = 1.40) |
d4T | 4.99 | 0.0376 | 0.0719 (F = 4.99) | 0.4400 (F = 0.62) | 0.2269 (F = 1.56) |
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aAnalyze if it is statistical significance between the impact of T215Y/V179E and T215Y/K103N on the IC50 of different drugs. Here, T215Y/V179E and T215Y/K103N are the background mutations factors
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bAnalyze the impact of single mutations (Y181C or H221Y) on the IC50 of different drugs
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cAnalysis of the interaction between 181 and 221 on the different background mutations factors. Due to the difference is significant of impact of T215Y/V179E and T215Y/K103N on EFV (F = 93.10, P < 0.0001)
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dand eanalyze the interaction between 181 and 221 on the background of T215Y/V179E and T215Y/K103N respectively. f is the P of the interaction between 181 and 221 ignoring the background mutations on different drugs
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P ≤ 0.01 was considered to be statistically significant