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From protein interactions to functional annotation: graph alignment in Herpes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F08%3A00337896" target="_blank" >RIV/68378050:_____/08:00337896 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    From protein interactions to functional annotation: graph alignment in Herpes

  • Original language description

    Sequence alignment is a prolific basis of functional annotation, but remains a challenging problem in the twilight zone of high sequence divergence or short gene length. We demonstrate how information on gene interactions can resolve ambiguous sequence alignments. We compare two distant Herpes viruses by constructing a graph alignment based jointly on the similarity of their protein interaction networks and on sequence similarity. This hybrid method provides functional associations between proteins of the two organisms that cannot be obtained from sequence or interaction data alone. We find proteins where interaction similarity and sequence similarity are individually weak but together provide evidence of orthology. There are also proteins with high interaction similarity and no detectable sequence similarity, providing evidence of functional association beyond sequence homology. The predictions derived from our alignment are consistent with genomic position and gene expression data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EB - Genetics and molecular biology

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    BMC Sytems Biology

  • ISSN

    1752-0509

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    90

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

  • UT code for WoS article

    000262308800001

  • EID of the result in the Scopus database