Indonesian
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)
Acta crystallographica. Section F, Structural biology and crystallization communications 2008-Mar

Crystallization and preliminary X-ray diffraction analysis of vaccinia virus H1L phosphatase.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
Laura Roces
Phillip P Knowles
Gavin Fox
Jordi Juanhuix
Nicki Scaplehorn
Michael Way
Neil Q McDonald

Kata kunci

Abstrak

The cysteine-based protein phosphatase H1L was the first reported dual-specificity protein phosphatase. H1L is encapsidated within the vaccinia virus and is required for successful host infection and for the production of viable vaccinia progeny. H1L has therefore been proposed as a target candidate for antiviral compounds. Recombinant H1L has been expressed in a catalytically inactive form using an Escherichia coli host, leading to purification and crystallization by the microbatch method. The crystals diffract to 2.1 A resolution using synchrotron radiation. These crystals belong to space group P422, with unit-cell parameters a = b = 98.31, c = 169.15 A, and are likely to contain four molecules in the asymmetric unit. A sulfur SAD data set was collected to 2.8 A resolution on beamline BM14 at the ESRF to facilitate structure determination. Attempts to derivatize these crystals with xenon gas changed the space group to I422, with unit-cell parameters a = b = 63.28, c = 169.68 A and a single molecule in the asymmetric unit. The relationship between these two crystal forms is discussed.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge