title: A novel strategy for mechanism based computational drug discovery.
abstract: Glioma, the common brain tumor, which arises from the glial cells, offers worse prognosis and therapy than any other tumors. Despite the genetic and pathological diversities of malignant gliomas, common signaling pathways that drive cellular proliferation, survival, invasion and angiogenesis have been identified. Very often, various tyrosine kinase receptors are inappropriately activated in human brain tumors and contribute to tumor malignancy. During such tumourous states where multiple pathways are involved, a few of them are responsbile for cell differentiation, proliferation and anti-apoptosis. Computational simulation studies of normal EGFR signaling in glioma together with the mutant EGFR mediated signaling and the MAPK signaling in glioma were carried out. There were no significant cross talks observed between the mutant EGFR and the MAPK pathways and thus from the simulation results, we propose a novel concept of 'multiple-targeting' that combines EGFR and Ras targeted therapy thereby providing a better therapeutic value against glioma. Diallyl Disulfide (DADS) that has been commonly used for Ras inhibition in glioma was taken for analyses and the effect of inhibiting the EGFR downstream signaling protein with this DADS was analyzed using the simulation and docking studies.
authors.affiliation: Bioinformatics and Life Science Division, AU-KBC Research Centre, M.I.T Campus, Anna University, Chromepet, Chennai 600044, India.
authors.forename: Kalyaanamoorthy
authors.initials: K
authors.lastname: Subha
authors.forename: Gopal Ramesh
authors.initials: GR
authors.lastname: Kumar
authors.forename: Rajasekaran
authors.initials: R
authors.lastname: Rajalakshmi
authors.forename: Ganesan
authors.initials: G
authors.lastname: Aravindhan
keywords: EGFR; MAPK signaling; computational simulation; glioma; multiple targeting