Application of Divide and Conquer Extended Genetic Algorithm to tertiary protein structure of chymotrypsin inhibitor-2
Author(s) -
Alexandre da Trindade Alfaro,
Minh Tuan Doan,
John M. Finke,
M. Galdes,
Mohammed Zohdy
Publication year - 2006
Publication title -
applied bionics and biomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 23
eISSN - 1754-2103
pISSN - 1176-2322
DOI - 10.1533/abbi.2006.0038
Subject(s) - divide and conquer algorithms , protein tertiary structure , chymotrypsin , amyotrophic lateral sclerosis , computational biology , computer science , dimension (graph theory) , algorithm , theoretical computer science , computational chemistry , artificial intelligence , chemistry , bioinformatics , biology , mathematics , biochemistry , combinatorics , disease , enzyme , medicine , trypsin , pathology
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
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