Table 1. In Vitro Inhibitory Activity of Tested Compounds against BoNT/A LC.
BoNT/A LC |
|||
---|---|---|---|
compd | % inhibitiona | IC50 (μM) | Ki (μM)e |
NSC 240898b | 73.31c | 2.62 | |
12 | 74.00 | 3.80 | 6.99 ± 0.46 |
13 | 81.43 | 2.28 | 5.67 ± 0.37 |
14 | 69.04 | ||
15 | 83.35 | ||
16 | 69.44 | 4.68 | |
17 | 69.88 | 5.18 | |
18 | 80.83 | ||
19 | 62.88 | ||
22 | 67.09 | 5.70 | |
23 | 72.86 | 2.32 | |
24 | 81.45 | ||
25 | 77.23 | ||
20 | 33.28 | 34.51 ± 4.72 | |
21 | 61.07 | 4.48 | 7.69 ± 0.39 |
36 | 73.95 | 2.46 | |
37 | 77.30 | 4.92 | |
38 | 74.38 | 5.09 | |
39 | 72.92 | 3.25 | |
40 | 67.37 | 4.90 | |
41 | 74.91 | 3.24 | |
42 | 33.75 | 24.97 | |
43 | 55.64 | 8.21 | |
44 | 29.97 | 6.78 | |
45 | 59.63 | 6.62 | |
50 | 93.51 | 1.02 | |
51 | 92.59 | 1.34 | |
52 | 89.34 | 0.81 | 3.22 ± 0.32 |
53 | 84.80 | 1.04 | 3.45 ± 0.35 |
54 | 89.48 | 1.14 | |
55 | 81.38 | 1.13 | |
56 | 85.54 | 2.27 | |
57 | 86.86 | 1.29 | |
60 | 82.22 | 3.05 | |
59 | 6.42 | ||
61 | 92.81 | 0.63 | |
62 | 96.47 | 0.341 ± 0.042 | |
63 | 97.24 | 0.171 ± 0.013 | |
64 | 96.68 | 0.300 ± 0.065 | |
65 | 89.57 | 0.389 ± 0.059 | |
66 | 95.46 | 0.285 ± 0.056 | |
67 | 95.43 | 0.103 ± 0.024 | |
68 | 93.70 | 0.300 ± 0.059 | |
9d | 6.51 |
Percent inhibition calculated at 20 μM. Percent inhibition measurements were performed in duplicate, and standard deviations were less than (25%) for all. IC50 calculations were determined by measuring enzyme activity at nine different SMNPI concentrations and in the absence of the small molecule. The small molecule concentrations used in the measurements were determined by estimating the IC50 value and moving in 1 log increments in either direction of the estimated value.
NSC240898, used as the control for comparison, displayed dose dependent inhibition of BoNT/A induced SNAP-25 cleavage in neurons with no toxicity at concentrations as high as 40 μM (ref (57)).
Average value from more than 20 measurements.
Tested as diphosphate salt.
For Ki determination, reaction velocity versus substrate concentration was plotted for multiple small molecule concentrations. These plots were analyzed using global kinetic analysis. Subsequently, the data were fit to a model of competitive inhibition and analyzed by nonlinear regression analysis.