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01-12-2016 | Original Article | Issue 1/2016

Network Modeling Analysis in Health Informatics and Bioinformatics 1/2016

A holistic approach for integration of biological systems and usage in drug discovery

Journal:
Network Modeling Analysis in Health Informatics and Bioinformatics > Issue 1/2016
Authors:
Manish Kumar Gupta, Krishna Misra

Abstract

A system can be defined as an organized, interconnected structure consisting of interrelated and interdependent elements (e.g., components, factors, members, parts). These parts and processes are connected by structural and/or behavioral relationships and continually influence one another directly or indirectly to maintain a balance essential for the existence of the system, and for achieving its goal. With increasing inflow of biological data, serious efforts to empathize biological systems as true systems are nowadays almost practicable. Handling high-throughput data places stress mainly on in silico approach comprising database handling, modeling, simulation and analysis, resulting in dramatic progress in system-level analysis. The databases and methods in bioinformatics are now moving in the direction of implementation of integrative dataset systems to represent genes, proteins and metabolic pathways in combination with simulated environment which is dynamic. For understanding the complex biological disorders and normal pathways of system it is significant to integrate the reductionist data which comes from transcriptomics, genomics, proteomics, lipidomics, glycomics, fluxomics and metabolomics. Numerous bioinformatics approaches are being exploited to integrate the molecular information from the biological databases and assist in simulation of metabolic networks. High-throughput experimental data set systems are, however, established on the static representation of the molecular data and existing knowledge. Various biological tools have been developed for understanding the mechanism of several diseases for drug discovery process. Study of dynamic nature of genetic, biochemical and signal transduction pathways can be done by simulating reactions with the help of integrative tools. Rising usage of rational drug designing approach is significant for identification of target in disease polluted network and evaluating ligand interaction for enhanced efficacy. How in-depth investigation of the whole system (a holistic approach) leads to emergence of systems biology is the crux of this review.

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