Affiliations: Mechanical Engineering Department, Oakland University, Rochester, Rochester, MI, USA | Statistics and Biology Department, Human Biology Department, Michigan State University, East Lansing, MI, USA | Chemistry Department, Oakland University, Rochester, MI, USA | Materials Science and Engineering Department, Michigan State University, East Lansing, MI, USA | Electrical and Computer Engineering Department, Oakland University, Rochester, MI, USA
Note:  Corresponding Author: M. Zohdy, Electrical & Systems Engineering Department, 148 DHE, Oakland University, Rochester, MI, 48309, USA. Tel: +1-248-370-2234; Fax: +1-248-370-4463; Email: [email protected]
Abstract: Determining the method by which a protein thermodynamically folds and unfolds in three-dimension is one of the most complex and least understood problems in modern biochemistry. Misfolded proteins have been recently linked to diseases including Amyotrophic Lateral Sclerosis and Alzheimer's disease. Because of the large number of parameters involved in defining the tertiary structure of proteins, based on free energy global minimisation, we have developed a new Divide and Conquer (DAC) Extended Genetic Algorithm. The approach was applied to explore and verify the energy landscape of protein chymotrypsin inhibitor-2.
Keywords: Protein folding, Genetic Algorithm, Genetic Algorithm for protein folding, protein folding of chymotrypsin inhibitor-2, protein folding of chymotrypsin inhibitor-2 using Genetic Algorithms