Homology modeling and topology prediction of Tbp1in Neisseriameningitidis
Publish place: کنفرانس بین المللی پژوهش در علوم و مهندسی
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 627
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICRSIE01_411
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
Neisseria meningitidis, an obligate human pathogen, is the most common cause of pyogenic meningitis worldwide, and is the only bacterium capable of generating outbreaks of bacterial meningitis. It also causes overwhelming meningococcal septicaemia that can kill within hours of the appearance of the first symptoms. Production of a cross-protective vaccine capable of generating long-lasting immunity against the disease among infants and older age groups is still a high priority worldwide. An ideal meningococcal vaccine should be safe; offer long-lasting immunity to all age groups; cross-protect against all meningo- coccal serogroups, serotypes and serosubtypes; be given orally or nasally; and be easily incorporated into the WHO Expanded Program on Immunisation. These include constitutively expressed and environmentally regulated OMPs. Most investigations on bacterial pathogens, including N. meningitidis, are with organisms grown in vitro under conditions that do not necessarily reflect those in vivo. This is likely to give, at best, only a partial picture of bacterial characteristics associated with virulence and with immune responses important for protection. . Here we describe the topology and 3D structure of a novel antigen which was discovered by mining the bacterial genome and that is very effective in inducing bactericidal antibodies. This antigen is a very good candidate for inclusion in universal vaccines against N.meningitidis.
Keywords:
Authors
Marjan Babadi Akashe
Departeman of biology, Science and Art University, Yazd, Iran
Fateme Sefid
Department of Biology, shahed University ,Tehran-Qom Express Way
Elham Khosravi
Departeman of biology, Science and Art University, Yazd, Iran
Rana Sabzi
Departeman of biology, Science and Art University, Yazd, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :