15.
Molecular Modelling Analysis of the Metabolism of Bortezomib
Fazlul Huq and Zaynab Al-Eisawi
Discipline of Biomedical Science, Sydney Medical School, The
University of Sydney. E-mail :
Fazlul.Huq@sydney.edu.au.
Address reprint requests and correspondences to: A/Prof Fazlul Huq,
Discipline of Biomedical Science, Sydney Medical School, C42, The
University of Sydney, PO Box 170, Lidcombe, NSW 1825, Australia.
Telephone: +61 2 9351 9522 Fax: +61 2 9351 9520
Abstract:
Multiple myeloma [MM] is a malignant disorder characterized by
the accumulation of neoplastic plasma cells in the bone marrow,
osteolytic bone resorption and suppressed bone formation. The
disease remains mostly incurable despite advances in
conventional chemotherapy. Bortezomib (Velcade) is a potent
first-in-class dipeptidyl boronic acid proteasome inhibitor that
was approved in the United States in 2003 for the treatment of
patients with relapsed MM. However, the use of bortezomib is
associated with a number of side-effects including
gastrointestinal disturbances, thrombocytopenia, asthenia and
peripheral neuropathy. Molecular modelling analyses based on
molecular mechanics, semi-empirical and DFT (at B3LYP/6-31G*
level) calculations show that neither bortezomib nor any of its
metabolites are extremely inert or extremely labile kinetically
so that based on the kinetic consideration neither can be
excluded from consideration as being responsible for adverse
reactions due to the drug. However, the presence of significant
electron-deficient regions on the molecular surfaces of M2, M27
and M28 indicates that the metabolites may be more be subject to
nucleophilic attack. This means that M2, M27 and M28 may cause
cellular toxicity though glutathione depletion and oxidative
damage to DNA. Since reactive oxygen species (ROS) such as
peroxide radical ion are believed to be formed in the oxidative
deboronation of bortezomib, it is possible that the toxic side-effects
due to bortezomib are mainly due to ROS.
Keywords: Bortezomib, velcade, proteasome inhibitor, molecular
modelling, DFT
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