IDENTIFICATION OF POTENTIAL ONCOGENE AND TRANSCRIPTION FACTOR INHIBITORS USING IN-SILICO METHODS
*Sumera Banu C.J, Kusum Paul, Preenon Bagchi
ABSTRACT
Identification of oncogenes and transcription factors causing Head and
Neck Cancer is an important strategy for anticancer therapy.
Evolutionary relationship between the members of the two families
was established. Inhibitors regulate the digestive and respiratory
systems, and hence, the inhibition of oncogenes and transcription
factors (protein molecules) has emerged as one of the most promising
strategies for the treatment of the disease. Virtual screening was
performed to identify new inhibitors. A dataset of 44 potential
inhibitors from 32 natural compounds having anti-cancer properties
was prepared. Docking studies was carried out on the protein molecules against the
inhibitors. A good number of interactions with important residues at the binding sites were
found in 21 docking cases, of which, 5 inhibitors were from organic products. Drug-like
properties were found for the set of inhibitors from Phytocompounds and a reduced set of
ligands were obtained that adhered to the Lipinski’s “Rule of Five”. It was concluded that the
ligands: Quinic acid, Ellagic acid, Bilobalide, Lentinan and Glycoprotein, showed activity
with the protein molecules and hence, can be used as inhibitors, post successful clinical trials.
Further, tunnels and pores were computed in the protein molecules. Their physicochemical
properties, i.e., hydropathy, hydrophobicity, polarity, charge, and mutability, which provide
useful information about potential biological functions, were predicted
Keywords: RAS Oncogenes, Runt-related transcription factors, Virtual Screening, Docking, Drug-likeliness, Physicochemical properties
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