In Silico Approach to Study the Regulatory Mechanisms and Pathways of Microorganisms

Abstract

Metabolic pathways and extreme pathways are the central paradigm of any life form. The detailed study and analysis of these pathways can yield better and engineered biological systems. This is the time when conventional methods of studying microorganisms are no longer practiced because of their limited productivity and higher time consumption. Bioinformatics has fulfilled the need for high-throughput experimental technologies, which are reliable and less time consuming too. With the help of computational biology, it is easy to study the whole microorganism’s metabolic and extreme pathways network and to obtain authentic results. Some in silico tools are designed to fulfill the need for high-throughput analysis of different pathways in microorganisms, like metagenome analyzer (MEGAN) which works on short-read data, the Pathways Tool which helps in constructing the pathway database and the Model SEED, a resource for the generation, optimization, duration and analysis of genome-scale metabolic models. Thus, network-based pathways are emerging as an important paradigm for analysis of biological systems.