Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein.

Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Abstract Text:

    rodrigo Rodrigo ,jaime l moralesJaime L Morales,mario barroMario Barro,alba ricardoAlba Ricardo,eugenio spencerEugenio Spencer,rodrigo Rodrigo ,jaime l moralesJaime L Morales,mario barroMario Barro,alba ricardoAlba Ricardo,eugenio spencerEugenio Spencer,

    Rotaviruses are the major cause of acute gastroenteritis in infants world-wide. The genome consists of eleven double stranded RNA segments. The major segment encodes the structural protein VP1, the viral RNA-dependent RNA polymerase (RdRp), which is a minor component of the viral inner core. This study is a detailed bioinformatic assessment of the VP1 sequence. Using various methods we have identified canonical motifs within the VP1 sequence which correspond to motifs previously identified within RdRps of other positive strand, double-strand RNA viruses. The study also predicts an overall structural conservation in the middle region that may correspond to the palm subdomain and part of the fingers and thumb subdomains, which comprise the polymerase core of the protein. Based on this analysis, we suggest that the rotavirus replicase has the minimal elements to function as an RNA-dependent RNA polymerase. VP1, besides having common RdRp features, also contains large unique regions that might be responsible for characteristic features observed in the Reoviridae family.

    Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Publishing Authors By Initials

    r R ,jl moralesJL Morales,m barroM Barro,a ricardoA Ricardo,e spencerE Spencer,r R ,jl moralesJL Morales,m barroM Barro,a ricardoA Ricardo,e spencerE Spencer,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Biological research

    VOLUME: 39

    Page Numbers: 649-59

    Journal Abbreviation: Biol. Res.

    ISSN: 0716-9760

    DAY: 20

    MONTH: 07

    YEAR: 2007

    Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9308271

    Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Keywords Mesh Terms:

    KEYWORDS:

    MESH TERMS:

    Chemical & Substance for Abstract: Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein. Information

    Substance Name:

    Registry Number:

    Grant and Affiliation Information for Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein.

    AFFILIATION: Laboratorio de Virología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile.

    Country: Chile

    Chile Research PublicationChile Research Publication

    AGENCY:

    GRANT:

    ACRONYM:

    MEDLINETA: Biol Res

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    Bioinformatic prediction of polymerase elements in the rotavirus VP1 protein Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News