System Biology and Network-Based Computational Model Approaches in Biomarker Discovery in Reference to Neurological Disorder

Abstract

Neurodegenerative diseases are irredeemable and incapacitating conditions that result in progressive degeneration. It is difficult to define the complexity of neuro-system quantitatively or meaningfully from a system standpoint. Thus, inclined towards the progress in developing new and effective therapeutic intervention, it is important to understand the underlying molecular mechanism and significance of neuro system and their complex molecular interaction. A biomarker discovery is an important need for early disease diagnosis, prognosis and monitoring of new therapy for neurological disorders. The emergence of system biology and network-based computational model approaches provides the underlying molecular mechanism and significance of disease and their complex molecular interaction. Thus, it becomes quite easy to understand the specific nature of neuro system as well as it plays a significant role in integrating the omics data at multiple levels that lead to key success in the development of more accurate and efficient biomarker for neurological disorders. The current review focused on significant contributions of system biology and network-based computational model approaches in biomarker discovery with special reference to neurological disorders.