Protein 3D HP model folding simulation based on ACO

被引：0

作者：

Song, Jie ^{[1
]}

Cheng, Jiaxing ^{[1
]}

Zheng, Tingting ^{[1
]}

机构：

[1] Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Anhui Province, Peoples R China

来源：

ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1 | 2006年

关键词：

3D protein HP model; Ant Colony Optimization (ACO); local coordinate system; right hand rule;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents an approach to optimize the protein 3D HP model conformation with ant colony Optimisation (ACO). A rapid coordinate system transfer matrix according to the "right hand" rule we defined is used to reduce the computing time. A new scheme to solve the problem of folding deadlock is suggested. During the update of pheromone, a new update method with dynamic pheromone is given and three local search method are provided. Using these method, 3D conformation of standard test sequences with very low energy was found.

引用

页码：410 / 415

页数：6

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