S. Umamatheswari et al. / European Journal of Medicinal Chemistry 46 (2011) 1415e1424
1423
The graphs of predicted ꢂlog MIC versus observed ꢂlog MIC for
the training and test sets are depicted in Figs. 5 and 6.
intercorrelation coefficients between polarizability and volume
(0.988) and between polarizability and hydrophobicity (0.940). The
QSAR Eq. (10) for A. niger indicates that increase in FOSA and
hydrophobicity increases the antifungal activity of the synthesized
compounds because of the increased facilitation of the perme-
ability of the molecules through the fungal cell [34]. Plot between
observed and predicted activities of the synthesized compounds
11e27 against different bacterial and fungal strains was shown in
Figs. 5 and 6.
Eq. (1) depicts that increase in Weakly Polar component of
Solvent Accessible surface area (WPSA) and Hydrogen Bond (HB)
acceptor of the compounds favours the antibacterial activity against
S. aureus. The WPSA descriptor pertains to the surface area for all
halogens, sulfur, and phosphorous atoms [28]. Experimental results
also depicts that the presence of halogens in the compounds
increases the activity against S. aureus.
Eq. (2) represents that decrease in volume and ionization
potential (IP) favours the antibacterial activity of the synthesized
compounds against E. coli. There is a high mutual correlation
between polarizability and molecular volume (0.988). The equation
with molecular volume or polarizability gave exactly the same
statistics with that of ionization potential. Hence, it is hard to
predict, the most important polarizability or molecular volume
effect. We prefer the latter because of the variation in R2 with
phenyl substitution. In the case of P. aeruginosa, positive correlation
was observed between antibacterial activity and the descriptors
WPSA and hydrophobicity (Eq. (3)). Singh et al. also observed
positive contribution of the hydrophobicity in the QSAR study with
other bacterial species [30].
In the case of S. typhi, the QSAR model developed resulted in
a monoparametric model with good r2 and rp2red and the model
depicted that WPSA positively correlates with the antibacterial
activity against S. typhi (Eq. (4)). Even though the sample size
allowed us to go for development of multiparametric model, the
high colinearity among the parameters restricted us to go for
monoparametric model only. When B. subtilis inhibition activity
was correlated with the descriptors, the descriptors like WPSA and
HB acceptors showed a statistically significant correlation (Eq. (5)).
The model described by Eq. (6) demonstrated the importance of
WPSA and IP in describing the antibacterial activity against K.
pneumonia. The negative correlation of molecular descriptor IP
with antibacterial activity reveals that decrease in value of IP will
lead to increase in antibacterial activity against K. pneumonia.
Descriptor WPSA had a positive correlation with the antibacterial
activity of the synthesized compounds against K. pneumonia as
seen in other Eqs. (1), (3)e(5).
Eq. (7) represents that decrease in hydrophobic surface area
(FOSA) and increase in lipophilicity will increase the antifungal
activity of the synthesized compounds against C. neoformans. The
hydrophobic surface area (FOSA) represents the aliphatic portion of
the solvent accessible surface area that is composed of saturated
carbons and their attached hydrogen [31]. An increase in hydro-
phobic substituents like fluoro, bromo and chloro increases the
antifungal activity of the synthesized compounds against C. neo-
formans which is in accordance with the report of other study [32].
Eq. (8) indicates that FOSA and FISA correlate in a positive and
negative way respectively with the antifungal activity of the
synthesized compounds against Rhizopus sp. FOSA is also a measure
of the hydrophobic property of a molecule and as it increases, the
polarity of the molecule will decrease [31]. FISA denotes the
hydrophilic component of surface area, and its correlation with
lipophilicity is 0.949. Thus an increase in hydrophobicity increases
the antifungal activity of the synthesized compounds against
Rhizopus sp.
4. Conclusion
In summary, a series of thiosemicarbazone derivatives have
been synthesized successfully in appreciable yields and screened
for their in vitro antimicrobial activity against bacterial strains S.
aureus, E. coli, P. aeruginosa, S. typhi, B. subtilis and K. pneumonia and
fungal strains C. neoformans, C. albicans, Rhizopus sp., and A. niger.
The results showed that some azole derivatives exhibited signifi-
cant antibacterial and antifungal activities, even comparable or
superior to reference drugs (Ciprofloxacin and Amphotericin-B). Of
the synthesized thiosemicarbazones, 17, 25, 27 against S. aureus 12,
16, 17, 24, 25 against E. coli, 21, 22 against P. aeruginosa, 13, 14, 17, 21,
24, 26, 27 against B. subtilis, 14, 15, 21, 24e26 against K. pneumonia
presented better antibacterial activities than reference drug
Ciprofloxacin. Thiosemicarbazones 18e22 against C. neoformans,
16, 23 against Rhizopus sp., 17, 22e24 against C. albicans, 22e24
against A. niger show better antifungal activities than Amphoter-
icin-B. QSAR analysis indicated that the compounds should possess
high WPSA (halogen substitutions) to have high antibacterial
activity against S. aureus, P. aeruginosa, S. typhi, B. subtilis and K.
pneumonia. To have better activity against E. coli and K. pneumonia
compounds should have decreased ionization potential. Increase in
hydrophobic substituents in the compounds will favour activity
against P. aeruginosa, C. neoformans and A. niger. Further the
obtained regression models show a good capacity to explain the
observed values of antimicrobial activity, high statistical signifi-
cance and predictive capacity. These observations may promote
further development of our research in this field. Further devel-
opment of this group of thiosemicarbazones may lead to chemical
entities with better pharmacological profile than standard drugs.
Thus, in the future this class of thiosemicarbazones may be used as
templates for the construction of better drugs to combat bacterial
and fungal infections. Further the mechanistic studies of the
synthesized compounds will be explored as continuation of this
work.
Acknowledgements
This research work supported by Council of Scientific and
Industrial Research, New Delhi. The authors would like to
acknowledge NMR research centre, IISc-Bangalore and Department
of Chemistry, IIT-Madras, respectively for recording NMR and single
crystal XRD. The authors also acknowledges the Department of
Science and Technology, SERC division, New Delhi for the financial
assistance towards QSAR programme.
Appendix. Supplementary data
Decrease in PISA and increase in polarizability indicates high
antifungal activity against C. albicans as mentioned in Eq. (9).
Supplementary data related to this article can be found online at
Descriptor PISA quantifies the
p component of solvent accessible
surface area i.e. it reflects hydrophobicity of the molecule due to
aromatic region. Polarizability is related to size and hydrophobicity
of the compound. Sharma et al. also observed that increase in
polarizability by introducing bulkier substitution, results in active
antifungal agents [33]. The present study showed greater
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