氨基酸相关理化性质的鉴定与蛋白质糖基化预测

Sagnik Banerjee, Basudeb Mitra, Avimita Chatterjee, A. Santra, Baisakhi Chatterjee
{"title":"氨基酸相关理化性质的鉴定与蛋白质糖基化预测","authors":"Sagnik Banerjee, Basudeb Mitra, Avimita Chatterjee, A. Santra, Baisakhi Chatterjee","doi":"10.1109/IEMCON.2015.7344520","DOIUrl":null,"url":null,"abstract":"Glycosylation is the process of adding carbohydrates to a protein residue. It is an important part of post-translational modification undergone by protein chains. Over 40 disorders have been linked to improper glycosylation bonds, over 80% of which affect the nervous system. Our aim is to study glycosylation in proteins and to understand the properties that affect this change. A detailed study using support vector machines has given us a computer that accurately predicts 79% percent of the possibility of positive glycan-bond. In this paper we attempt to discuss the entire study and our conclusions. We target to find out which of the physicochemical properties of amino acids are relevant for glycosylation.","PeriodicalId":111626,"journal":{"name":"2015 International Conference and Workshop on Computing and Communication (IEMCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification of relevant physico chemical properties of amino acids with respect to protein glycosylation prediction\",\"authors\":\"Sagnik Banerjee, Basudeb Mitra, Avimita Chatterjee, A. Santra, Baisakhi Chatterjee\",\"doi\":\"10.1109/IEMCON.2015.7344520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Glycosylation is the process of adding carbohydrates to a protein residue. It is an important part of post-translational modification undergone by protein chains. Over 40 disorders have been linked to improper glycosylation bonds, over 80% of which affect the nervous system. Our aim is to study glycosylation in proteins and to understand the properties that affect this change. A detailed study using support vector machines has given us a computer that accurately predicts 79% percent of the possibility of positive glycan-bond. In this paper we attempt to discuss the entire study and our conclusions. We target to find out which of the physicochemical properties of amino acids are relevant for glycosylation.\",\"PeriodicalId\":111626,\"journal\":{\"name\":\"2015 International Conference and Workshop on Computing and Communication (IEMCON)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference and Workshop on Computing and Communication (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCON.2015.7344520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference and Workshop on Computing and Communication (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON.2015.7344520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

糖基化是在蛋白质残基上添加碳水化合物的过程。它是蛋白质链翻译后修饰的重要组成部分。超过40种疾病与不适当的糖基化键有关,其中80%以上影响神经系统。我们的目标是研究蛋白质中的糖基化,并了解影响这种变化的特性。一项使用支持向量机的详细研究给了我们一台计算机,它准确地预测了79%的正聚糖键的可能性。在本文中,我们试图讨论整个研究和我们的结论。我们的目标是找出氨基酸的哪些物理化学性质与糖基化有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of relevant physico chemical properties of amino acids with respect to protein glycosylation prediction
Glycosylation is the process of adding carbohydrates to a protein residue. It is an important part of post-translational modification undergone by protein chains. Over 40 disorders have been linked to improper glycosylation bonds, over 80% of which affect the nervous system. Our aim is to study glycosylation in proteins and to understand the properties that affect this change. A detailed study using support vector machines has given us a computer that accurately predicts 79% percent of the possibility of positive glycan-bond. In this paper we attempt to discuss the entire study and our conclusions. We target to find out which of the physicochemical properties of amino acids are relevant for glycosylation.
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:604180095
Book学术官方微信