GSC: a graphical program for NMR chemical shift comparison.

W Gronwald, R F Boyko, B D Sykes
{"title":"GSC: a graphical program for NMR chemical shift comparison.","authors":"W Gronwald, R F Boyko, B D Sykes","doi":"10.1093/bioinformatics/13.5.557","DOIUrl":null,"url":null,"abstract":"Comparison of NMR chemical shift files can provide the researcher with valuable insights. For example, a comparison of NMR chemical shifts obtained for the same protein at various temperatures can provide insights into the protein's thermal stability (Roder, 1989). Also, shift comparisons of a large protein subjected to various detergents can show whether protein tertiary structure is disrupted (Mutter and Altmann, 1985), or the detergent may have an effect on stabilizing the secondary structure in a small protein (Dyson etai, 1988). Chemical shift changes can verify metal bindings in proteins (Shaw et al., 1990) and it can be insightful to compare the overall effect on chemical shifts from protein mutations (Rajarathnam et al., 1994). Chemical shift comparison of two or more similar proteins can identify regions where the global fold and secondary structure are preserved, and where changes can be expected (Kim et al., 1994). Despite its useful nature, chemical shift comparison can be very tedious and error prone. The GSC program has been developed to make it easy to analyze chemical shifts of selected atoms between chemical shift files. We have used GSC with great success to compare predicted chemical shifts with observed ones to gain insight into the accuracy of our new NMR chemical shift prediction program ORB (Gronwald etai, 1997).Figure 1 shows a main screen snapshot of GSC. The program is started by designating one set of shifts as the 'reference shifts' and either one or two other shift sets as 'comparison shifts'. Once the user selects the atom type (e.g. HN, Ha, Ca, etc.) and the region of the sequences to study, the program draws line graph(s) depicting the difference in shifts between the reference and comparison shifts. The Pearson correlation coefficient (Larson and Marx, 1981) and the average error measure overall chemical shift difference. Here the average error is the sum of the absolute values of all chemical shift differences (in p.p.m.) divided by the number of compared atoms.","PeriodicalId":77081,"journal":{"name":"Computer applications in the biosciences : CABIOS","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/bioinformatics/13.5.557","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer applications in the biosciences : CABIOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/13.5.557","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

Comparison of NMR chemical shift files can provide the researcher with valuable insights. For example, a comparison of NMR chemical shifts obtained for the same protein at various temperatures can provide insights into the protein's thermal stability (Roder, 1989). Also, shift comparisons of a large protein subjected to various detergents can show whether protein tertiary structure is disrupted (Mutter and Altmann, 1985), or the detergent may have an effect on stabilizing the secondary structure in a small protein (Dyson etai, 1988). Chemical shift changes can verify metal bindings in proteins (Shaw et al., 1990) and it can be insightful to compare the overall effect on chemical shifts from protein mutations (Rajarathnam et al., 1994). Chemical shift comparison of two or more similar proteins can identify regions where the global fold and secondary structure are preserved, and where changes can be expected (Kim et al., 1994). Despite its useful nature, chemical shift comparison can be very tedious and error prone. The GSC program has been developed to make it easy to analyze chemical shifts of selected atoms between chemical shift files. We have used GSC with great success to compare predicted chemical shifts with observed ones to gain insight into the accuracy of our new NMR chemical shift prediction program ORB (Gronwald etai, 1997).Figure 1 shows a main screen snapshot of GSC. The program is started by designating one set of shifts as the 'reference shifts' and either one or two other shift sets as 'comparison shifts'. Once the user selects the atom type (e.g. HN, Ha, Ca, etc.) and the region of the sequences to study, the program draws line graph(s) depicting the difference in shifts between the reference and comparison shifts. The Pearson correlation coefficient (Larson and Marx, 1981) and the average error measure overall chemical shift difference. Here the average error is the sum of the absolute values of all chemical shift differences (in p.p.m.) divided by the number of compared atoms.
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
核磁共振化学位移比较的图形程序。
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
A genetic algorithm for multiple molecular sequence alignment. Displaying the information contents of structural RNA alignments: the structure logos. Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR. SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements. XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences.
×
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