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)
Journal of Microbiology and Biotechnology 2019-Jun

Synthesis of Methylated Anthranilate Derivatives Using Engineered Strains of Escherichia coli.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Hye Lee
Song-Yi Kim
Eun Kim
Da Han
Bong-Gyu Kim
Joong-Hoon Ahn

Parole chiave

Astratto

Anthranilate derivatives have been used as flavoring and fragrant agents for a long time. Recently, these compounds are gaining attention due to new biological functions including antinociceptive and analgesic activities. Three anthranilate derivatives, N-methylanthranilate, methyl anthranilate, and methyl N-methylanthranilate were synthesized using metabolically engineered stains of Escherichia coli. NMT encoding N-methyltransferase from Ruta graveolens, AMAT encoding anthraniloyl-coenzyme A (CoA):methanol acyltransferase from Vitis labrusca, and pqsA encoding anthranilate coenzyme A ligase from Pseudomonas aeruginosa were cloned and E. coli strains harboring these genes were used to synthesize the three desired compounds. E. coli mutants (metJ, trpD, tyrR mutants), which provide more anthranilate and/or S-adenosyl methionine, were used to increase the production of the synthesized compounds. MS/MS analysis was used to determine the structure of the products. Approximately, 185.3 μM N-methylanthranilate and 95.2 μM methyl N-methylanthranilate were synthesized. This is the first report about the synthesis of anthranilate derivatives in E. coli.

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