Italian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Virology 1996-Mar

Identification of an RNA-stimulated NTPase in the predicted helicase sequence of the Rubella virus nonstructural polyprotein.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
C Gros
G Wengler

Parole chiave

Astratto

The replicative proteins of Rubella virus are generated from a polyprotein that is translated from the 5'-terminal segment of the viral genome. The determination of the genome sequence and the description of amino acid sequence motifs which are proposed to be characteristic for helicase proteins have indicated that the polyprotein region located between amino acid residues 1300 and 1600 represents the Rubella virus helicase. We have expressed a segment comprising the sequences between the amino acid residues A (1225) and R (1664) as part of a glutathione S-transferase fusion protein in Escherichia coli. We show that this protein contains a nucleoside triphosphatase activity which hydrolyses all eight ribonucleoside- and deoxyribonucleoside triphosphates. The activity of the protein, determined by ATP hydrolysis, was influenced by the presence of single-stranded RNA; it was stimulated about 1.7 fold in the presence of poly(U), poly(C), or poly(dT) and inhibited to half its activity in the presence of poly(G). These functions represent characteristic helicase partial functions and provide experimental support for the predicted localization of the helicase in the nonstructural polyprotein.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge