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洛斯阿拉莫斯的综合序列与免疫丝状病毒数据库。

Integrated sequence and immunology filovirus database at Los Alamos.

作者信息

Yusim Karina, Yoon Hyejin, Foley Brian, Feng Shihai, Macke Jennifer, Dimitrijevic Mira, Abfalterer Werner, Szinger James, Fischer Will, Kuiken Carla, Korber Bette

机构信息

Los Alamos National Laboratory, Los Alamos, NM, USA

Los Alamos National Laboratory, Los Alamos, NM, USA.

出版信息

Database (Oxford). 2016 Apr 21;2016. doi: 10.1093/database/baw047. Print 2016.

Abstract

The Ebola outbreak of 2013-15 infected more than 28 000 people and claimed more lives than all previous filovirus outbreaks combined. Governmental agencies, clinical teams, and the world scientific community pulled together in a multifaceted response ranging from prevention and disease control, to evaluating vaccines and therapeutics in human trials. As this epidemic is finally coming to a close, refocusing on long-term prevention strategies becomes paramount. Given the very real threat of future filovirus outbreaks, and the inherent uncertainty of the next outbreak virus and geographic location, it is prudent to consider the extent and implications of known natural diversity in advancing vaccines and therapeutic approaches. To facilitate such consideration, we have updated and enhanced the content of the filovirus portion of Los Alamos Hemorrhagic Fever Viruses Database. We have integrated and performed baseline analysis of all family ITALIC! Filoviridaesequences deposited into GenBank, with associated immune response data, and metadata, and we have added new computational tools with web-interfaces to assist users with analysis. Here, we (i) describe the main features of updated database, (ii) provide integrated views and some basic analyses summarizing evolutionary patterns as they relate to geo-temporal data captured in the database and (iii) highlight the most conserved regions in the proteome that may be useful for a T cell vaccine strategy.Database URL:www.hfv.lanl.gov.

摘要

2013 - 2015年的埃博拉疫情感染了超过2.8万人,夺走的生命比以往所有丝状病毒疫情的总和还多。政府机构、临床团队和全球科学界齐心协力,展开了多方面的应对行动,涵盖从预防和疾病控制到在人体试验中评估疫苗和治疗方法等各个方面。随着这场疫情最终接近尾声,重新聚焦长期预防策略变得至关重要。鉴于未来丝状病毒疫情的切实威胁,以及下一次疫情爆发的病毒和地理位置的固有不确定性,在推进疫苗和治疗方法时考虑已知自然多样性的程度及其影响是审慎之举。为便于进行此类考量,我们更新并扩充了洛斯阿拉莫斯出血热病毒数据库中丝状病毒部分的内容。我们整合了存入GenBank的所有丝状病毒科序列,并对其进行了基线分析,同时纳入了相关的免疫反应数据和元数据,还添加了带有网络界面的新计算工具以协助用户进行分析。在此,我们(i)描述更新后数据库的主要特征,(ii)提供综合视图以及一些基本分析,总结与数据库中捕获的地理时间数据相关的进化模式,并且(iii)突出蛋白质组中可能对T细胞疫苗策略有用的最保守区域。数据库网址:www.hfv.lanl.gov。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b1/4839628/71c9f9fdbaba/baw047f1p.jpg

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