Suppr超能文献

BlockLogo:展示肽和序列模体保守性。

BlockLogo: visualization of peptide and sequence motif conservation.

机构信息

Cancer Vaccine Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.

出版信息

J Immunol Methods. 2013 Dec 31;400-401:37-44. doi: 10.1016/j.jim.2013.08.014. Epub 2013 Aug 31.

Abstract

BlockLogo is a web-server application for the visualization of protein and nucleotide fragments, continuous protein sequence motifs, and discontinuous sequence motifs using calculation of block entropy from multiple sequence alignments. The user input consists of a multiple sequence alignment, selection of motif positions, type of sequence, and output format definition. The output has BlockLogo along with the sequence logo, and a table of motif frequencies. We deployed BlockLogo as an online application and have demonstrated its utility through examples that show visualization of T-cell epitopes and B-cell epitopes (both continuous and discontinuous). Our additional example shows a visualization and analysis of structural motifs that determine the specificity of peptide binding to HLA-DR molecules. The BlockLogo server also employs selected experimentally validated prediction algorithms to enable on-the-fly prediction of MHC binding affinity to 15 common HLA class I and class II alleles as well as visual analysis of discontinuous epitopes from multiple sequence alignments. It enables the visualization and analysis of structural and functional motifs that are usually described as regular expressions. It provides a compact view of discontinuous motifs composed of distant positions within biological sequences. BlockLogo is available at: http://research4.dfci.harvard.edu/cvc/blocklogo/ and http://met-hilab.bu.edu/blocklogo/.

摘要

BlockLogo 是一个 Web 服务器应用程序,用于使用来自多序列比对的块熵计算可视化蛋白质和核苷酸片段、连续蛋白质序列基序和不连续序列基序。用户输入包括多序列比对、基序位置选择、序列类型和输出格式定义。输出包括 BlockLogo 以及序列徽标和基序频率表。我们将 BlockLogo 部署为在线应用程序,并通过展示 T 细胞表位和 B 细胞表位(连续和不连续)可视化的示例来证明其效用。我们的其他示例展示了用于确定肽与 HLA-DR 分子结合特异性的结构基序的可视化和分析。BlockLogo 服务器还采用了经过实验验证的预测算法,以便能够实时预测常见的 15 种 HLA 类 I 和类 II 等位基因与 MHC 的结合亲和力,并对来自多序列比对的不连续表位进行可视化分析。它能够可视化和分析通常以正则表达式描述的结构和功能基序。它提供了一种简洁的方式来查看由生物序列中遥远位置组成的不连续基序。BlockLogo 可在以下网址获得:http://research4.dfci.harvard.edu/cvc/blocklogo/http://met-hilab.bu.edu/blocklogo/。

相似文献

1
BlockLogo: visualization of peptide and sequence motif conservation.
J Immunol Methods. 2013 Dec 31;400-401:37-44. doi: 10.1016/j.jim.2013.08.014. Epub 2013 Aug 31.
4
Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach.
Bioinformatics. 2004 Jun 12;20(9):1388-97. doi: 10.1093/bioinformatics/bth100. Epub 2004 Feb 12.
6
PEPVAC: a web server for multi-epitope vaccine development based on the prediction of supertypic MHC ligands.
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W138-42. doi: 10.1093/nar/gki357.
7
PVS: a web server for protein sequence variability analysis tuned to facilitate conserved epitope discovery.
Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W35-41. doi: 10.1093/nar/gkn211. Epub 2008 Apr 27.
8
MHCPred 2.0: an updated quantitative T-cell epitope prediction server.
Appl Bioinformatics. 2006;5(1):55-61. doi: 10.2165/00822942-200605010-00008.

引用本文的文献

1
plotnineSeqSuite: a Python package for visualizing sequence data using ggplot2 style.
BMC Genomics. 2023 Oct 3;24(1):585. doi: 10.1186/s12864-023-09677-8.
2
Cryptic association of B7-2 molecules and its implication for clustering.
Protein Sci. 2021 Sep;30(9):1958-1973. doi: 10.1002/pro.4151. Epub 2021 Jul 10.
4
Lipid droplet-associated kinase STK25 regulates peroxisomal activity and metabolic stress response in steatotic liver.
J Lipid Res. 2020 Feb;61(2):178-191. doi: 10.1194/jlr.RA119000316. Epub 2019 Dec 19.
5
Logomaker: beautiful sequence logos in Python.
Bioinformatics. 2020 Apr 1;36(7):2272-2274. doi: 10.1093/bioinformatics/btz921.
6
ProteomicsBrowser: MS/proteomics data visualization and investigation.
Bioinformatics. 2019 Jul 1;35(13):2313-2314. doi: 10.1093/bioinformatics/bty958.
7
Epitope-Binding Characteristics for Risk versus Protective DRB1 Alleles for Visceral Leishmaniasis.
J Immunol. 2018 Apr 15;200(8):2727-2737. doi: 10.4049/jimmunol.1701764. Epub 2018 Mar 5.
9
Shetti, a simple tool to parse, manipulate and search large datasets of sequences.
Microb Genom. 2015 Nov 6;1(5):e000035. doi: 10.1099/mgen.0.000035. eCollection 2015 Nov.

本文引用的文献

1
MAFFT multiple sequence alignment software version 7: improvements in performance and usability.
Mol Biol Evol. 2013 Apr;30(4):772-80. doi: 10.1093/molbev/mst010. Epub 2013 Jan 16.
2
The IMGT/HLA database.
Nucleic Acids Res. 2013 Jan;41(Database issue):D1222-7. doi: 10.1093/nar/gks949. Epub 2012 Oct 17.
3
RILogo: visualizing RNA-RNA interactions.
Bioinformatics. 2012 Oct 1;28(19):2523-6. doi: 10.1093/bioinformatics/bts461. Epub 2012 Jul 23.
5
CodonLogo: a sequence logo-based viewer for codon patterns.
Bioinformatics. 2012 Jul 15;28(14):1935-6. doi: 10.1093/bioinformatics/bts295. Epub 2012 May 17.
6
Conservation analysis of dengue virus T-cell epitope-based vaccine candidates using Peptide block entropy.
Front Immunol. 2011 Dec 20;2:69. doi: 10.3389/fimmu.2011.00069. eCollection 2011.
7
Machine learning competition in immunology - Prediction of HLA class I binding peptides.
J Immunol Methods. 2011 Nov 30;374(1-2):1-4. doi: 10.1016/j.jim.2011.09.010. Epub 2011 Sep 29.
8
Prediction of epitopes using neural network based methods.
J Immunol Methods. 2011 Nov 30;374(1-2):26-34. doi: 10.1016/j.jim.2010.10.011. Epub 2010 Oct 31.
9
Structural basis of preexisting immunity to the 2009 H1N1 pandemic influenza virus.
Science. 2010 Apr 16;328(5976):357-60. doi: 10.1126/science.1186430. Epub 2010 Mar 25.
10
Improved visualization of protein consensus sequences by iceLogo.
Nat Methods. 2009 Nov;6(11):786-7. doi: 10.1038/nmeth1109-786.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验