Abstract:
Latterly, a vital prototype shift has been manifested in the management of non-small cell
lung Cancer (NSCLC). Owing to the fact that NSCLC could be sub-categorized on the
basis of its physiological morphology along with concerned genetic alterations. Lung
cancer regimen has been revolutionized with advancement of drugs that are to some
extent effectual in targeting the prime driver mutations and immune control points.
While, targeted therapy is anticipated to ameliorate patients results along with the
standard of life. Computational simulation techniques have greatly contributed in the
progression of molecular biology targeted based therapies by allowing the biological abstractions
meticulous and demonstrable along with implementing reference map that
confines together the discrete biological insights. The current research exercises one of
the remarkable computational technique of software Pint under the parasol of Process
Hitting. It enlightened us about an extensive catalogue of significant Biomarkers inclusive
of presence of prolonged cell survival along with uninterrupted G1/S cell cycle
progression and enhanced proliferation of the tumor cells marks down the footprints
for an early and effective diagnosis of NSCLC. Application of cut set on AKT allowed
us to regain homeostatic apoptotic process. It also contributed towards therapeutic
strategies for NSCLC treatment by providing the important drug targets such as ALK,
mTORC1, STK4, CCND1 and besides others. The current study tends to fulfil the
scientific gap between wet lab studies and cost effective along with time saving computational
strategies for an effectual treatment for deadly diseases like non-small cell lung
cancer.
