Cancer Vaccine Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
J Immunol Methods. 2013 Dec 31;400-401:37-44. doi: 10.1016/j.jim.2013.08.014. Epub 2013 Aug 31.
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/.
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/ 和 http://met-hilab.bu.edu/blocklogo/。