Threshold temperature tuning Simulated Annealing for Protein Folding Problem in small peptides

被引：0
作者：
Juan Frausto-Solís
Mishael Sánchez-Pérez
Ernesto Lińan-García
Juan Paulo Sánchez-Hernández
机构：
[1] UPEMOR Blvd.,UADEC Blvd.
[2] ITESM Autopista del Sol,undefined
[3] V. Carranza,undefined
来源：
Computational and Applied Mathematics | 2013年 / 32卷
关键词：
Simulated Annealing; Protein Folding; Tuned Simulated Annealing; Primary 68U99; Secondary 90C59;
D O I：
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学科分类号：
摘要：
In this paper, Threshold Temperature Simulated Annealing algorithm (TTSA) is presented. TTSA is an algorithm based on the classical Simulated Annealing Algorithm (SA) and a reheat technique. This algorithm was devised for the problem known as Protein Folding Problem (PFP) in small peptides. A quality threshold temperature is introduced in the paper; the new temperature is a restarting phase of the algorithm, which depends on the maximum and minimum deterioration of the energy function. The Threshold Temperature is obtained by applying analytical and experimental tuning techniques. The performance of the quality of the solutions for PFP in small peptides is discussed in the paper.
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页码：471 / 482
页数：11
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