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)
Biochemistry (Moscow) 2010-Jan

Identifying functional residues in arabidopsis thaliana zeta class glutathione S-transferase through screening inactive point mutants.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Xiwen Chen
Jia Liu
Peng Yang
Defu Chen

Parole chiave

Astratto

The functional residues of z-class glutathione S-transferase were identified by screening inactive point mutants from a random mutagenesis library. First, a random mutant library was constructed using error-prone polymerase chain reaction, and then candidate inactive mutants were screened by a high-throughput colorimetric assay. Twenty-five mutants were obtained, and 12 that formed inclusion bodies were discarded. The remaining 13 mutants that expressed soluble protein were used for accurate quantification of enzymatic activity and sequencing. The mutants W15R, C19Y, R22H/K83E, P61S, S73P, S109P, and Q112R were found to have activity lower than 1% of the wild-type and were considered as "inactive mutants", whereas the mutants K83E, Q102R, and L147F still have a large fraction of the activity and were thus considered as "partially inactivated mutants". Molecular modeling experiments disclosed that mutations resulting in inactivation of the enzyme were found in or near the binding pocket, whereas mutations resulting in partial inactivation were distant from both substrates. The role of the residue Ser73 in the enzyme was verified by site-directed mutagenesis. The result suggested that screening inactive point mutants from a random mutagenesis library is an efficient way of identifying functional residues in enzymes.

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