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. 2018 May 14;8(5):256. doi: 10.1007/s13205-018-1278-z

Table 1.

Library of natural and synthetic phenolic compounds used in this study along with its antibacterial activities

Compound s. no. Ki (µM)* pKi Predicted value Residual value
1a 0.85 0.071 0.014 − 0.057
2 10.8 − 1.033 − 1.106 − 0.073
3 0.85 0.071 0.244 0.173
4a 10.3 − 1.013 − 0.617 0.396
5 10.5 − 1.021 − 0.882 0.139
6a 0.84 0.076 − 0.065 − 0.141
6b 0.71 0.149 − 0.109 − 0.258
7a 11.8 − 1.072 − 0.737 0.335
8 0.91 0.041 0.06 0.019
9 10.5 − 1.021 − 1.119 − 0.098
10a 0.99 0.004 − 0.373 − 0.377
11 0.82 0.086 0.055 − 0.031
12 0.80 0.097 0.199 0.102
13 0.85 0.071 0.14 0.069
14 12.2 − 1.086 − 0.968 0.118
15 0.80 0.097 − 0.016 − 0.113
16a 1.27 − 0.104 − 0.124 − 0.02
17 1.78 − 0.25 − 0.375 − 0.125
18 1.16 − 0.064 0.035 0.099
19a 11.0 − 1.041 − 1.218 − 0.177
20 12.3 − 1.09 − 0.964 0.126
21 11.6 − 1.064 − 1.069 − 0.005

a = compounds values taken in the training and test set of 3D-MLR QSAR model

*Against Rv1284

aTest set compound of the 3D-QSAR model