Combining computational and biochemical studies for a rationale on the anti-aromatase activity of natural polyphenols
Articolo
Data di Pubblicazione:
2007
Abstract:
Aromatase, an enzyme of the cytochrome P450 family, is a very important
pharmacological target, particularly for the treatment of breast cancer.
The anti-aromatase activity of a set of natural polyphenolic compounds
was evaluated in vitro. Strong aromatase inhibitors including flavones,
flavanones, resveratrol, and oleuropein, with activities comparable to
that of the reference anti-aromatase drug aminoglutethimide, were
identified. Through the application of molecular modeling techniques
based on grid-independent descriptors and molecular interaction fields,
the major physicochemical features associated with inhibitory activity
were disclosed, and a putative virtual active site of aromatase was
proposed. Docking of the inhibitors into a 3D homology model structure
of the enzyme defined a common binding mode for the small molecules
under investigation. The good correlation between computational and
biological results provides the first rationalization of the
anti-aromatase activity of polyphenolic compounds. Moreover, the
information generated in this approach should be further exploited for
the design of new aromatase inhibitors.
pharmacological target, particularly for the treatment of breast cancer.
The anti-aromatase activity of a set of natural polyphenolic compounds
was evaluated in vitro. Strong aromatase inhibitors including flavones,
flavanones, resveratrol, and oleuropein, with activities comparable to
that of the reference anti-aromatase drug aminoglutethimide, were
identified. Through the application of molecular modeling techniques
based on grid-independent descriptors and molecular interaction fields,
the major physicochemical features associated with inhibitory activity
were disclosed, and a putative virtual active site of aromatase was
proposed. Docking of the inhibitors into a 3D homology model structure
of the enzyme defined a common binding mode for the small molecules
under investigation. The good correlation between computational and
biological results provides the first rationalization of the
anti-aromatase activity of polyphenolic compounds. Moreover, the
information generated in this approach should be further exploited for
the design of new aromatase inhibitors.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Neves Marco, Ac; Dinis Teresa, Cp; Colombo, Giorgio; Sa e Melo M., Luisa
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