通过模拟退火最小化丙氨酸二肽的能量

R. Rodosek, D. Zupanic
{"title":"通过模拟退火最小化丙氨酸二肽的能量","authors":"R. Rodosek, D. Zupanic","doi":"10.1109/CBMS.1997.596424","DOIUrl":null,"url":null,"abstract":"The paper presents an approach for deriving 3-D structures of polypeptide chains which have minimum energy. The well-known optimisation algorithms are usually applied on the model which contains hard constraints over coordinates of the atoms. The drawback of such strategies is an inefficient search for the optimal solution. The authors' approach proceeds in two steps: first, the standard model is transformed into an equivalent model without hard constraints, and second, the simulated annealing local search algorithm is performed. The empirical results demonstrate that simulated annealing on the proposed model outperforms traditional search algorithms especially with respect to running times.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minimising the energy of the alanine dipeptide by simulated annealing\",\"authors\":\"R. Rodosek, D. Zupanic\",\"doi\":\"10.1109/CBMS.1997.596424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an approach for deriving 3-D structures of polypeptide chains which have minimum energy. The well-known optimisation algorithms are usually applied on the model which contains hard constraints over coordinates of the atoms. The drawback of such strategies is an inefficient search for the optimal solution. The authors' approach proceeds in two steps: first, the standard model is transformed into an equivalent model without hard constraints, and second, the simulated annealing local search algorithm is performed. The empirical results demonstrate that simulated annealing on the proposed model outperforms traditional search algorithms especially with respect to running times.\",\"PeriodicalId\":292377,\"journal\":{\"name\":\"Proceedings of Computer Based Medical Systems\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Computer Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1997.596424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Computer Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1997.596424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种推导能量最小的多肽链三维结构的方法。众所周知的优化算法通常应用于包含原子坐标硬约束的模型。这种策略的缺点是对最优解的搜索效率不高。作者的方法分两步进行:首先,将标准模型转化为没有硬约束的等效模型;其次,执行模拟退火局部搜索算法。实验结果表明,该模型的模拟退火算法优于传统的搜索算法,特别是在运行时间方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimising the energy of the alanine dipeptide by simulated annealing
The paper presents an approach for deriving 3-D structures of polypeptide chains which have minimum energy. The well-known optimisation algorithms are usually applied on the model which contains hard constraints over coordinates of the atoms. The drawback of such strategies is an inefficient search for the optimal solution. The authors' approach proceeds in two steps: first, the standard model is transformed into an equivalent model without hard constraints, and second, the simulated annealing local search algorithm is performed. The empirical results demonstrate that simulated annealing on the proposed model outperforms traditional search algorithms especially with respect to running times.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信