Literature DB >> 24001880

BlockLogo: visualization of peptide and sequence motif conservation.

Lars Rønn Olsen1, Ulrich Johan Kudahl, Christian Simon, Jing Sun, Christian Schönbach, Ellis L Reinherz, Guang Lan Zhang, Vladimir Brusic.   

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/.
© 2013.

Entities:  

Keywords:  B-cell epitope; Block entropy; HA; HLA; Hemagglutinin; Human leukocyte antigen; MHC; MSA; Major histocompatibility complex; Multiple sequence alignment.; Protein–protein interaction; Sequence variability and conservation; T-cell epitope

Mesh:

Substances:

Year:  2013        PMID: 24001880      PMCID: PMC3856553          DOI: 10.1016/j.jim.2013.08.014

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


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