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necropsy finding in surviving animals at the end of experimen-
tal period (7 days) revealed no apparent changes in any organs.
These compounds perhaps had acute toxicity towards central
nervous system (CNS). Table 2 summarized the results of the
acute toxicity and QSAR study.
Analysis of the experimental data on the acute toxicity
(LD50) after i.p. application shows that compound 4 is more
toxic than any other compounds. Compounds 1, 8 and 7 show
low toxicity. Others are mid toxic. Substituent at position N1
of 2-aminobenzimidazole plays a crucial role in determining
their effect on acute toxicity. From this table, we can find that
the ranking of toxicity was: 4 > 3 > 5 > 6 > 2 > 1,8 > 7.
Electron-withdrawing group (e.g.–F) and large group (e.g.
benzyl) in the molecule seem to be related to the low toxicity.
According to the equation, we can predict the toxicity of 2-
aminobenzimidazole derivatives and more compounds with
different substituents at other positions can be designed on
the basis of QSAR studies.
4. Experimental
4.1. Chemistry
Melting points of the compounds were determined using
microscopy melting point apparatus and were reported uncor-
1
3.3. QSAR studies
rected. The H-NMR spectra were recorded in DMSO-d6 by
the Avance 400 MHz spectrometer using tetramethylsilane
(TMS) as an internal standard. Elemental analyses were per-
formed by 240C Analyzer and results for C,H,N were within
0.4% of calculated values. All the chemicals and solvents
used in this study were of analytical grade.
QSAR studies were carried out by the existence of correla-
tion between logLD50 and logP as below:
2
(1)
logLD50¼ 7:380 ꢀ 5:719logPþ1:404ðlogPÞ
N = 8, r = 0.9243, s = 0.2458, F = 14.67, R2 = 0.8543.
4.2. Pharmacology
In the above equation, R2 is the square of correlation coeffi-
cient; S is standard error; F is mean square radio; N is the
number of compounds; r is correlation coefficient. According
to the equation, plots of logLD50 against LogP are shown in
Fig. 1.
4.2.1. Acute toxicities
Acute toxicity experiments were carried out using ICR mice
of both sexes weighing 18–30 g. The food and water were
provided according to institutional guidelines. All animals
were provided by Zhejiang Laboratory animal center of Chi-
nese Academy of science. Prior to each experiment, mice were
fastened overnight and allowed free access to water. Various
doses of the 1-substituted-2-aminobenzimidazole derivatives
dissolved in 0.5% carboxymethyl cellulose sodium (CMC–
Na) salt solution were given via intraperitoneal (i.p.) to differ-
ent groups of healthy ICR mice, and each group contained 10
mice (five males and five females). After the administration of
the compounds, mice were observed continuously for any
gross behavioral changes and deaths, and intermittently for
1 week. All animals were sacrificed at seventh day after drug
administration and checked macroscopically for possible da-
mage to the heart, liver, spleen, lung, kidneys and stomach.
Mice of immediate death following drug administration were
also examined for any possible organ damage. LD50 values
were calculated graphically. To ensure that the solvent had no
acute toxicities on ICR mice, a control test was performed with
test medium supplemented with CMC–Na at the same dilutions
as used in the experiment.
The Eq. (1) enable us to conclude that the acute toxicity of
the 2-aminobenzimidazole was related to partition coefficient
LogP, r = 0.9243. If LogP < 2.037, logLD50 is inversely pro-
portional to logP and if LogP > 2.037, it (logLD50) is directly
proportional to LogP. As value of logLD50 is least at
LogP = 2.037 point. If we dropped two values of N (com-
pounds 7 and 8), we can get another Eq. (2):
2
(2)
logLD50¼ 0:929ðlogPÞ ꢀ 4:0279logPþ6:026
r = 0.9856, N = 6.
When we decrease values of N (compounds), the corre-
sponding values of r approaches 1.
Compounds 8 and 7 have different chemical structures,
compound 7 containing benzyl substituent and compound 8
containing –F at position 4 of the benzyl ring substituent.
4.2.2. QSAR studies
Quantitative structure-activity relationship (QSAR) could
provide correlations between toxicological properties and phy-
sico-chemical descriptors of a chemical. We could estimate the
toxicities of chemicals with the QSAR models based on their
easily measured or calculated characteristics. And the applica-
tion of QSAR models could provide scientific basis for the risk
assessments of chemicals.
Octanol/water partition coefficient (LogP) was one of the
most important physico-chemical descriptors in the toxicology
Fig. 1. Plot of logLD50 versus logP values.