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Study on 3D Protein Folding Problem Based on the Improved Hysteretic Optimization

Author: XiongRu
Tutor: XuWeiHua;LvYongZai
School: Zhejiang University
Course: Control Theory and Control Engineering
Keywords: Protein Folding Three - dimensional lattice model Hysteresis optimization algorithm Parameter definition
CLC: TP301.6
Type: Master's thesis
Year: 2012
Downloads: 20
Quote: 0
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Abstract


The protein folding problem is one of the core issue of Bio - IT research it to be resolved is how the amino acid sequence of the protein primary structure is folded into a three-dimensional structure of the problem . The study of protein folding mechanism of the entire process of complete biological information transfer , thus revealing the laws of life activities is important. In recent years , the intelligent computing plays an increasingly important role in modeling , prediction and optimization of the protein folding problem . This article describes a new type of physical optimization algorithms - the hysteresis optimization algorithm (HO), applied to three-dimensional protein structure prediction problem ; and on the basis of this work , in-depth study of the hysteresis characteristics of optimization algorithms and protein folding proposed effective improvements methods . First of all, the first time the hysteresis optimization algorithm is extended to solve three-dimensional protein folding problem . The hysteresis optimization algorithm inspired by physics AC demagnetization process attenuation by simulating alternating external magnetic field demagnetization process to solve the optimization problem . Zar a nd et al in 2002 for the solving of the spin glass model . Concluded through the analysis of simulation results : the hysteresis optimization algorithm is composed by a variety of \The objective function ( lowest energy state ) to establish links between the three , the \Furthermore, based on previous research , successful algorithm improvements, simulation results in the application of the results of the comparison with other intelligent algorithms , not only to obtain better results , faster computing speed ; especially for a length of 64 sequence to find a lowest energy value -57 conformation , only to find other algorithm for solving the conformation of the lowest energy -56 . Finally, the application of the hysteresis optimization algorithm for solving the three-dimensional protein folding problem is a summary and outlook of future research work .

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