Protein Structure Alignment: Is There Room for Improvement?

M. Arriagada, A. Poleksic
{"title":"Protein Structure Alignment: Is There Room for Improvement?","authors":"M. Arriagada, A. Poleksic","doi":"10.1109/CISIS.2012.12","DOIUrl":null,"url":null,"abstract":"Recent years have seen rapid development of methods for approximate and optimal solutions to the protein structure alignment problem. Albeit slow, these methods can be extremely useful in assessing the accuracy of more efficient, heuristic algorithms. We utilize a recently developed approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition space leads to increased alignment accuracy with respect to many well established measures of alignment quality. The results of our study suggest that a large and important part of the protein superposition space remains unexplored by current techniques for protein structure alignment.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIS.2012.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Recent years have seen rapid development of methods for approximate and optimal solutions to the protein structure alignment problem. Albeit slow, these methods can be extremely useful in assessing the accuracy of more efficient, heuristic algorithms. We utilize a recently developed approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition space leads to increased alignment accuracy with respect to many well established measures of alignment quality. The results of our study suggest that a large and important part of the protein superposition space remains unexplored by current techniques for protein structure alignment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
蛋白质结构对齐:有改进的空间吗?
近年来,蛋白质结构定位问题的近似解和最优解的方法得到了迅速发展。尽管速度很慢,但这些方法在评估更有效的启发式算法的准确性方面非常有用。我们利用最近开发的蛋白质结构匹配近似算法来证明,蛋白质叠加空间的深度搜索导致相对于许多已建立的校准质量测量的校准精度增加。我们的研究结果表明,目前的蛋白质结构比对技术仍未探索蛋白质叠加空间的很大一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Trustworthiness-based Group Communication Protocols Evaluation of Human Robot Interaction Factors of a Socially Assistive Robot Together with Older People Architecture for Integrating Computational Tools Based on Grid Services for System Monitoring and Alerting Evaluation of Never Die Network for a Rural Area in an Ultra Large Scale Disaster Towards a Model for Recognising the Social Attitude in Natural Interaction with Embodied Agents
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1