Two Mathematical Approaches to Inferring the Internal Structure of Proteins from their Shape

Naoto Morikawa
{"title":"Two Mathematical Approaches to Inferring the Internal Structure of Proteins from their Shape","authors":"Naoto Morikawa","doi":"10.34257/GJSFRFVOL21IS3PG1","DOIUrl":null,"url":null,"abstract":"sing a simple mathematical model, we propose two approaches to externally infer how the amino-acid sequence is folded in a protein. One is the previously proposed differential geometric approach. The other is a new category theoretical approach proposed in this paper. As an example, we consider detecting the presence of internal singularities from the outside. Knowledge of Category theory is not required. Proteins are represented as a loop of triangles. In both approaches, the outer contour of the loop is examined to detect the presence of singular triangles (such as isolated triangles) inside. By considering the interaction between loops, the new approach allows us to detect more singular triangles than the previous approach. We hope that this research will provide a new perspective on protein structure analysis and promote further collaboration between mathematics and biology.","PeriodicalId":12547,"journal":{"name":"Global Journal of Science Frontier Research","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Science Frontier Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34257/GJSFRFVOL21IS3PG1","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

sing a simple mathematical model, we propose two approaches to externally infer how the amino-acid sequence is folded in a protein. One is the previously proposed differential geometric approach. The other is a new category theoretical approach proposed in this paper. As an example, we consider detecting the presence of internal singularities from the outside. Knowledge of Category theory is not required. Proteins are represented as a loop of triangles. In both approaches, the outer contour of the loop is examined to detect the presence of singular triangles (such as isolated triangles) inside. By considering the interaction between loops, the new approach allows us to detect more singular triangles than the previous approach. We hope that this research will provide a new perspective on protein structure analysis and promote further collaboration between mathematics and biology.
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
从形状推断蛋白质内部结构的两种数学方法
通过一个简单的数学模型,我们提出了两种从外部推断氨基酸序列如何在蛋白质中折叠的方法。一种是先前提出的微分几何方法。另一种是本文提出的新的范畴理论方法。作为一个例子,我们考虑从外部检测内部奇点的存在。不需要范畴论的知识。蛋白质被表示为一个三角形的环。在这两种方法中,检查环路的外轮廓以检测内部是否存在奇异三角形(如孤立三角形)。通过考虑循环之间的相互作用,新方法使我们能够比以前的方法检测到更多的奇异三角形。我们希望这项研究能为蛋白质结构分析提供一个新的视角,并促进数学与生物学的进一步合作。
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
Investigating the Seasonal Variations of Event, Recent, and Pre-Recent Runoff Components in a Pre-Alpine Catchment using Stable Isotopes and an Iterative Hydrograph Separation Approach Comprehensive Review of Key Taenia Species and Taeniosis/ Cysticercosis Disease in Animals and Humans Research and Discussion of Quantum Theory Study on the Mechanism of Cycle and Storage Process of Lithium-Ion Battery Leave-Intercalation Theory and Conductive Mechanism during Charge-Discharge Process for Secondary Battery
×
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:481959085
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