Systems Biology, Bioinformatics and Livestock Science

The Perspective of Physiome Modelling in Systems Biology: New Horizon

Author(s): Prachi P. Parvatikar*, Shrilaxmi Bagali, Pallavi S. Kanthe, Aravind V. Patil and Kusal K. Das

Pp: 51-75 (25)

DOI: 10.2174/9789815165616123010008

* (Excluding Mailing and Handling)


Scientific understanding has rapidly expanded in the new biological age, with the rapid advancement of genomic science and molecular biology, It is a challenge to reintegrate the enormous quantity of information and data that was generated from works related to genomics, transcriptomics, proteomics, and metabolomics in order to effectively explain the organism and connect molecular processes with higher-level biological phenomena. Scientific understanding has expanded quickly in the new biological age due to the rapid advancement of genomic science and molecular biology. This inspired contemporary interest in systems biology, which investigates organisms as integrated systems made up of dynamic and interconnected genetic, protein, metabolic, and cellular components using biology, mathematics, biophysics, biochemistry, bioinformatics, and computer science. Systems biology is the key concept underlying Physiome, a mathematical measure of how an organism functions in normal and pathologic states which is based on morphome. The simulation models based on mathematical expressions and physics can aid in the interpretation and encapsulation of biological phenomena in a computable and repeatable manner. Researchers have created tools and standards to allow the reproducibility and reuse of mathematical models of biological systems, as well as tools and guidelines to promote semantic representation of computational models and repositories where models can be archived, shared, and discovered. 

Keywords: Bioinformatics, Database, Genomics, Physiome project, Reductionism, System biology.

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