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Supercomputers in Modeling of Biological Systems
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Author(s): Randall Maples (Oklahoma State University, USA), Sindhura Ramasahayam (Oklahoma State University, USA)and Gerard G. Dumancas (Oklahoma Medical Research Foundation, USA)
Copyright: 2015
Pages: 22
Source title:
Research and Applications in Global Supercomputing
Source Author(s)/Editor(s): Richard S. Segall (Arkansas State University, USA), Jeffrey S. Cook (Independent Researcher, USA)and Qingyu Zhang (Shenzhen University, China)
DOI: 10.4018/978-1-4666-7461-5.ch008
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Abstract
Modeling of biological systems has become an important facet in today's scientific community because it has aided in the simulation of the minute biological entities comprising a living individual. With the advent in the advances of supercomputers, most challenges in understanding the complexities of biological networks and processes occurring in the human body can now be understood. Proteins, which are large biomolecules comprised of amino acids, play a critical role in the proper functioning of a living organism, and, thus, the prediction of its structure is essential in medicine for drug design or in biotechnology, such as in the designing of novel enzymes. This chapter focuses on how supercomputers facilitate in the prediction of protein structures in its different forms, modeling of protein-ligand binding site identification, as well as in the protein-surface interactions modeling.
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