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Adaptive Simulated Annealing Based Protein Loop Modeling of Neurotoxins
作者姓名:陈杰  黄丽娜  彭志红
作者单位:DepartmentofAutomaticControl,SchoolofInformationScienceandTechnology,BeijingInstituteofTechnology,Beijing100081,China
基金项目:theMinisterialLevelAdvancedResearchFoundation ( 2 0 0 10 70 )andtheTeachingandResearchAwardProgramforOutstandingYoungTeachersinHigherEducationInstitutionsofMOEofChina
摘    要:A loop modeling method, adaptive simulated annealing, for ab initio prediction of protein loop structures, as an optimization problem of searching the global minimum of a given energy function, is proposed. An interface-friendly toolbox--LoopModeller in Windows and Linux systems, VC and OpenGL environments is developed for analysis and visualization. Simulation results of three short-chain neurotoxins modeled by LoopModeller show that the method proposed is fast and efficient.

关 键 词:自适应模拟退火  算法  能量方程  神经毒素  蛋白质循环  同源模型
收稿时间:2003/6/17 0:00:00

Adaptive Simulated Annealing Based Protein Loop Modeling of Neurotoxins
CHEN Jie,HUANG Li-na and CHEN Jie.Adaptive Simulated Annealing Based Protein Loop Modeling of Neurotoxins[J].Journal of Beijing Institute of Technology,2003,12(4):337-341.
Authors:CHEN Jie  HUANG Li-na and CHEN Jie
Affiliation:Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Abstract:A loop modeling method, adaptive simulated annealing, for ab initio prediction of protein loop structures, as an optimization problem of searching the global minimum of a given energy function, is proposed. An interface-friendly toolbox-LoopModeller in Windows and Linux systems, VC++ and OpenGL environments is developed for analysis and visualization. Simulation results of three short-chain neurotoxins modeled by LoopModeller show that the method proposed is fast and efficient.
Keywords:loop  energy function  adaptive simulated annealing  neurotoxin
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