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)
Biophysical Journal 2000-Sep

Homology modeling and characterization of IgE binding epitopes of mountain cedar allergen Jun a 3.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
K V Soman
T Midoro-Horiuti
J C Ferreon
R M Goldblum
E G Brooks
A Kurosky
W Braun
C H Schein

Ključne riječi

Sažetak

The Jun a 3 protein from mountain cedar (Juniperus ashei) pollen, a member of group 5 of the family of plant pathogenesis-related proteins (PR-proteins), reacts with serum IgE from patients with cedar hypersensitivity. We used the crystal structures of two other proteins of this group, thaumatin and an antifungal protein from tobacco, both approximately 50% identical in sequence to Jun a 3, as templates to build homology models for the allergen. The in-house programs EXDIS and FANTOM were used to extract distance and dihedral angle constraints from the Protein Data Bank files and determine energy-minimized structures. The mean backbone deviations for the energy-refined model structures from either of the templates is <1 A, their conformational energies are low, and their stereochemical properties (determined with PROCHECK) are acceptable. The circular dichroism spectrum of Jun a 3 is consistent with the postulated beta-sheet core. Tryptic fragments of Jun a 3 that reacted with IgE from allergic patients all mapped to one helical/loop surface of the models. The Jun a 3 models have features common to aerosol allergens from completely different protein families, suggesting that tertiary structural elements may mediate the triggering of an allergic response.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta znanošću

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti znanošću
  • Prepoznavanje bilja slikom
  • Interaktivna GPS karta - označite bilje na mjestu (uskoro)
  • Pročitajte znanstvene publikacije povezane s vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoje interese i budite u toku s istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Svi podaci temelje se na objavljenim znanstvenim istraživanjima

Google Play badgeApp Store badge