从同源序列的多个比对中预测蛋白质折叠的表面环。

L Patthy
{"title":"从同源序列的多个比对中预测蛋白质折叠的表面环。","authors":"L Patthy","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Multiple alignments of distantly related homologous sequences may be used for the construction of consensus sequences that identify conserved motifs, variable segments and regions that tolerate gap events. It is suggested that such consensus sequences may be used for the prediction of key features of protein-folds. The validity of the proposed approach is illustrated in the case of the alpha 2 mu globulin superfamily: the consensus sequence derived from the multiple alignment of sequences succeeded in identifying conserved structural motifs and in predicting the location of surface loops that connect these motifs.</p>","PeriodicalId":77479,"journal":{"name":"Acta biochimica et biophysica Hungarica","volume":"24 1-2","pages":"3-13"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of surface loops of protein-folds from multiple alignments of homologous sequences.\",\"authors\":\"L Patthy\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Multiple alignments of distantly related homologous sequences may be used for the construction of consensus sequences that identify conserved motifs, variable segments and regions that tolerate gap events. It is suggested that such consensus sequences may be used for the prediction of key features of protein-folds. The validity of the proposed approach is illustrated in the case of the alpha 2 mu globulin superfamily: the consensus sequence derived from the multiple alignment of sequences succeeded in identifying conserved structural motifs and in predicting the location of surface loops that connect these motifs.</p>\",\"PeriodicalId\":77479,\"journal\":{\"name\":\"Acta biochimica et biophysica Hungarica\",\"volume\":\"24 1-2\",\"pages\":\"3-13\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta biochimica et biophysica Hungarica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta biochimica et biophysica Hungarica","FirstCategoryId":"1085","ListUrlMain":"","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

远亲同源序列的多重比对可用于构建共识序列,以确定保守基序、可变片段和耐受间隙事件的区域。这表明,这种共识序列可用于预测蛋白质折叠的关键特征。所提出的方法的有效性在α 2 μ球蛋白超家族的案例中得到了说明:从序列的多重比对中得出的共识序列成功地识别了保守的结构基序,并预测了连接这些基序的表面环的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of surface loops of protein-folds from multiple alignments of homologous sequences.

Multiple alignments of distantly related homologous sequences may be used for the construction of consensus sequences that identify conserved motifs, variable segments and regions that tolerate gap events. It is suggested that such consensus sequences may be used for the prediction of key features of protein-folds. The validity of the proposed approach is illustrated in the case of the alpha 2 mu globulin superfamily: the consensus sequence derived from the multiple alignment of sequences succeeded in identifying conserved structural motifs and in predicting the location of surface loops that connect these motifs.

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