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. 2009 Apr 15;46(8):1127–1138. doi: 10.1016/j.freeradbiomed.2009.01.019

Table 2.

Summary of best-hit molecules from screen in NSC34 cells and their in silico properties

Molecule Serum-withdrawn NSC34
G93A cells
MW LogP H donor H acceptor Rule of 5 PSA (Å2)
EC50 (μM) Max % DCF decrease DCF (% of basal) MTT (% of control)
Resveratrol 4 54 72 134 228.3 3.09 3 3 Pass 60.68
Esculetin 1 80 −7 193 178.1 1.42 2 4 Pass 66.76
Caffeic acid phenethyl ester 2 94 36 254 284.3 3.57 2 4 Pass 66.76
Quercetin 5 43 15 160 302.2 1.63 5 7 Pass 127.45
Morin 14 123 33 128 302.2 1.63 5 7 Pass 127.45
Dipyrone 1 75 61 122 333.3 0.38 1 7 Pass 150.36
Epicatechin pentaacetate 5 95 62 159 500.5 2.44 0 11 Fail 140.72
Chlorogenic acid 0.6 50 67 134 354.3 -0.34 6 9 Fail 164.75
Quercitrin 0.9 43 74 124 448.4 0.59 7 11 Fail 186.37

Rule of 5 and molecular polar surface area calculations were performed using Pipeline Pilot software. MW, molecular weight; LogP, octanol/water partition coefficient; H donor, number of hydrogen bond donors; H acceptor, number of hydrogen bond acceptors; PSA, polar surface area (Å2).