• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
New metrics for comparing and assessing discrepancies between RNA 3D structures and models.用于比较和评估RNA三维结构与模型之间差异的新指标。
RNA. 2009 Oct;15(10):1875-85. doi: 10.1261/rna.1700409. Epub 2009 Aug 26.
2
Quantitative analysis of nucleic acid three-dimensional structures.核酸三维结构的定量分析。
J Mol Biol. 2001 May 18;308(5):919-36. doi: 10.1006/jmbi.2001.4626.
3
Molecular dynamics simulations of sarcin-ricin rRNA motif.肌动蛋白-蓖麻毒素rRNA基序的分子动力学模拟
Nucleic Acids Res. 2006 Feb 2;34(2):697-708. doi: 10.1093/nar/gkj470. Print 2006.
4
The use of interatomic contact areas to quantify discrepancies between RNA 3D models and reference structures.使用原子间接触面积来量化 RNA 三维模型与参考结构之间的差异。
Nucleic Acids Res. 2014 May;42(9):5407-15. doi: 10.1093/nar/gku191. Epub 2014 Mar 12.
5
FR3D: finding local and composite recurrent structural motifs in RNA 3D structures.FR3D:在RNA三维结构中寻找局部和复合重复结构基序
J Math Biol. 2008 Jan;56(1-2):215-52. doi: 10.1007/s00285-007-0110-x. Epub 2007 Aug 11.
6
Assessment of comparative modeling in CASP2.对CASP2中比较建模的评估。
Proteins. 1997;Suppl 1:14-28. doi: 10.1002/(sici)1097-0134(1997)1+<14::aid-prot4>3.3.co;2-f.
7
The conformation of the sarcin/ricin loop from 28S ribosomal RNA.来自28S核糖体RNA的肌动蛋白/蓖麻毒素环的构象。
Proc Natl Acad Sci U S A. 1993 Oct 15;90(20):9581-5. doi: 10.1073/pnas.90.20.9581.
8
Barnaba: software for analysis of nucleic acid structures and trajectories.Barnaba:核酸结构和轨迹分析软件。
RNA. 2019 Feb;25(2):219-231. doi: 10.1261/rna.067678.118. Epub 2018 Nov 12.
9
Chemical secondary structure probing of two highly methylated regions in Xenopus laevis 28S ribosomal RNA.非洲爪蟾28S核糖体RNA中两个高度甲基化区域的化学二级结构探测
Biochim Biophys Acta. 1994 Sep 13;1219(1):89-97. doi: 10.1016/0167-4781(94)90250-x.
10
Crystal structures of restrictocin-inhibitor complexes with implications for RNA recognition and base flipping.具有RNA识别和碱基翻转意义的限制性核酸内切酶-抑制剂复合物的晶体结构
Nat Struct Biol. 2001 Nov;8(11):968-73. doi: 10.1038/nsb1101-968.

引用本文的文献

1
Updates to the CASP Infrastructure in 2024.2024年蛋白质结构预测关键评估(CASP)基础设施的更新。
Proteins. 2025 Sep 1. doi: 10.1002/prot.70042.
2
Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.通过卷积块注意力网络和集成学习提高RNA二级结构预测的泛化能力
Molecules. 2025 Aug 21;30(16):3447. doi: 10.3390/molecules30163447.
3
Structure Modeling Protocols for Protein Multimer and RNA in CASP16 With Enhanced MSAs, Model Ranking, and Deep Learning.利用增强型多序列比对、模型排序和深度学习的CASP16中蛋白质多聚体和RNA的结构建模协议
Proteins. 2025 Aug 1. doi: 10.1002/prot.70033.
4
Structural Prediction of Coronavirus s2m Kissing Complexes and Extended Duplexes.冠状病毒s2m接吻复合体和延伸双链体的结构预测
ACS Phys Chem Au. 2025 Jun 5;5(4):410-424. doi: 10.1021/acsphyschemau.5c00031. eCollection 2025 Jul 23.
5
Assessment of nucleic acid structure prediction in CASP16.CASP16中核酸结构预测的评估
bioRxiv. 2025 May 10:2025.05.06.652459. doi: 10.1101/2025.05.06.652459.
6
RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks.RiNALMo:通用RNA语言模型在结构预测任务上能很好地泛化。
Nat Commun. 2025 Jul 1;16(1):5671. doi: 10.1038/s41467-025-60872-5.
7
Deep generalizable prediction of RNA secondary structure via base pair motif energy.通过碱基对基序能量对RNA二级结构进行深度可推广预测。
Nat Commun. 2025 Jul 1;16(1):5856. doi: 10.1038/s41467-025-60048-1.
8
RNA secondary structure prediction by conducting multi-class classifications.通过进行多类分类来预测RNA二级结构。
Comput Struct Biotechnol J. 2025 Apr 4;27:1449-1459. doi: 10.1016/j.csbj.2025.04.001. eCollection 2025.
9
Assessing interface accuracy in macromolecular complexes.评估大分子复合物中的界面准确性。
PLoS One. 2025 Apr 2;20(4):e0319917. doi: 10.1371/journal.pone.0319917. eCollection 2025.
10
Unknotting RNA: A method to resolve computational artifacts.解开RNA:一种解决计算假象的方法。
PLoS Comput Biol. 2025 Mar 20;21(3):e1012843. doi: 10.1371/journal.pcbi.1012843. eCollection 2025 Mar.

本文引用的文献

1
Frequency and isostericity of RNA base pairs.RNA碱基对的频率与等排性。
Nucleic Acids Res. 2009 Apr;37(7):2294-312. doi: 10.1093/nar/gkp011. Epub 2009 Feb 24.
2
Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filters.基于知识势能和结构过滤器的大型RNA分子粗粒度建模。
RNA. 2009 Feb;15(2):189-99. doi: 10.1261/rna.1270809.
3
Automated motif extraction and classification in RNA tertiary structures.RNA三级结构中的自动基序提取与分类
RNA. 2008 Dec;14(12):2489-97. doi: 10.1261/rna.1061108. Epub 2008 Oct 28.
4
Annotation of tertiary interactions in RNA structures reveals variations and correlations.RNA结构中三级相互作用的注释揭示了变异和相关性。
RNA. 2008 Dec;14(12):2465-77. doi: 10.1261/rna.1249208. Epub 2008 Oct 28.
5
Analysis and classification of RNA tertiary structures.RNA三级结构的分析与分类
RNA. 2008 Nov;14(11):2274-89. doi: 10.1261/rna.853208. Epub 2008 Sep 29.
6
Solution structure of tRNAVal from refinement of homology model against residual dipolar coupling and SAXS data.基于剩余偶极耦合和小角X射线散射数据对同源模型进行优化后得到的缬氨酸转运核糖核酸(tRNAVal)的溶液结构
J Biomol NMR. 2008 Oct;42(2):99-109. doi: 10.1007/s10858-008-9267-x. Epub 2008 Sep 12.
7
Ab initio RNA folding by discrete molecular dynamics: from structure prediction to folding mechanisms.基于离散分子动力学的从头算RNA折叠:从结构预测到折叠机制
RNA. 2008 Jun;14(6):1164-73. doi: 10.1261/rna.894608. Epub 2008 May 2.
8
Progress and challenges in protein structure prediction.蛋白质结构预测的进展与挑战
Curr Opin Struct Biol. 2008 Jun;18(3):342-8. doi: 10.1016/j.sbi.2008.02.004. Epub 2008 Apr 22.
9
RNA2D3D: a program for generating, viewing, and comparing 3-dimensional models of RNA.RNA2D3D:一个用于生成、查看和比较RNA三维模型的程序。
J Biomol Struct Dyn. 2008 Jun;25(6):669-83. doi: 10.1080/07391102.2008.10531240.
10
The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data.MC-Fold和MC-Sym管道从序列数据推断RNA结构。
Nature. 2008 Mar 6;452(7183):51-5. doi: 10.1038/nature06684.

用于比较和评估RNA三维结构与模型之间差异的新指标。

New metrics for comparing and assessing discrepancies between RNA 3D structures and models.

作者信息

Parisien Marc, Cruz José Almeida, Westhof Eric, Major François

机构信息

Institute for Research in Immunology and Cancer, Department of Computer Science and Operations Research, Université de Montréal, Montréal, Québec, Canada.

出版信息

RNA. 2009 Oct;15(10):1875-85. doi: 10.1261/rna.1700409. Epub 2009 Aug 26.

DOI:10.1261/rna.1700409
PMID:19710185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2743038/
Abstract

To benchmark progress made in RNA three-dimensional modeling and assess newly developed techniques, reliable and meaningful comparison metrics and associated tools are necessary. Generally, the average root-mean-square deviations (RMSDs) are quoted. However, RMSD can be misleading since errors are spread over the whole molecule and do not account for the specificity of RNA base interactions. Here, we introduce two new metrics that are particularly suitable to RNAs: the deformation index and deformation profile. The deformation index is calibrated by the interaction network fidelity, which considers base-base-stacking and base-base-pairing interactions within the target structure. The deformation profile highlights dissimilarities between structures at the nucleotide scale for both intradomain and interdomain interactions. Our results show that there is little correlation between RMSD and interaction network fidelity. The deformation profile is a tool that allows for rapid assessment of the origins of discrepancies.

摘要

为了衡量RNA三维建模所取得的进展并评估新开发的技术,可靠且有意义的比较指标及相关工具是必要的。一般来说,会引用平均均方根偏差(RMSD)。然而,RMSD可能会产生误导,因为误差分布在整个分子上,且没有考虑RNA碱基相互作用的特异性。在此,我们引入了两个特别适用于RNA的新指标:变形指数和变形轮廓。变形指数通过相互作用网络保真度进行校准,该保真度考虑了目标结构内的碱基堆积和碱基配对相互作用。变形轮廓突出了结构在核苷酸尺度上域内和域间相互作用的差异。我们的结果表明,RMSD与相互作用网络保真度之间几乎没有相关性。变形轮廓是一种能够快速评估差异来源的工具。