QSAR, PHARMACOPHORE FEATURES AND MOLECULAR DOCKING STUDY OF PIRAZOLO-[3,4-D]-PYRIMIDINES AS MER TYROSINE KINASE INHIBITOR
Mer receptor tyrosine kinase is ectopically expressed in Acute Lymphoblastic Leukemia (ALL) cell lines, but Mer is not expressed in normal mouse and human T and B-lymphocytes at any stage of development. Inhibition of Mer expression reduces pro-survival signaling, dramatically increases the sensi...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/79068 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Mer receptor tyrosine kinase is ectopically expressed in Acute Lymphoblastic
Leukemia (ALL) cell lines, but Mer is not expressed in normal mouse and human
T and B-lymphocytes at any stage of development. Inhibition of Mer expression
reduces pro-survival signaling, dramatically increases the sensitivity of leukemia
cells to cytotoxic agents, and thus significantly delays development of leukemia.
Pirazolo-[3,4-d]-pyrimidine is a new-generation drug which acts as an inhibitor of
the Mer tyrosine kinase. The aim of present research are to know the predictors
that influence of activity of Mer receptor tyrosine kinase inhibitor and to
determine the best QSAR equation that showed the quantitative structure and
activity relationship of pirazolo-[3,4-d]-pyrimidines, determine pharmacophore
features which play a role in binding to the receptor and to design new derivative
of pirazolo-[3,4-d]-pyrimidine derivatives which are expected to have higher
activity and selectivity. Evaluation of the interaction between new designed
derivatives and Mer receptor tyrosine kinase is also the object of the present
study. Modeling and geometry optimization of molecular structure were
calculated by HyperChem 8.0. In which, geometry optimization was performed by
Ab initio method. QSAR descriptor were calculated using MOE 2009, while
statistical analysis was evaluated by multilinear regression analysis using SPSS
Statistics 17. Leave On Out cross validation techniques was applied to obtain the
QSAR equation with significance statistical criteria. Pharmacophore model was
created using the ‘Pharmacophore Query Editor’and was applied for interaction
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study between ligand and protein receptor. Molecular docking for studying the
ligand-receptor interactions was also performed by MOE. The QSAR model
suggests that steric parameters such as molecular refractivity and van der Waals
volume are crucial for the inhibitory activity. In addition, ASA_H, log S and
energy of the LUMO positively contribute to the Mer inhibition. The
pharmacophore model of Mer inhibitors suggests that one aromatic, one ionic
interaction and four H-bonding play important roles in Mer inhibitors. Novel
compounds were designed by modifying substituent in order to obtain the fit
pharmacophores features and considering descriptor of the best QSAR equation
model. There are ten novel compounds of pirazolo-[3,4-d]-pyrimidine derivatives
which have a theoretical activity better than its parent compound. The most active
compound has a good docking score, and has ability to interact with binding site
of Mer receptor tyrosine kinase.
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