VIRAPOPS2支持流感病毒重组。

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2014-08-17 eCollection Date: 2014-01-01 DOI:10.1186/1751-0473-9-18
Michel Petitjean, Anne Vanet
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引用次数: 2

摘要

背景:400多年来,由于其分段基因组的重新组合,流感病毒进化极其迅速,并造成毁灭性的流行病。这种重组的出现是因为两种流感病毒可以感染同一个细胞,因此新的病毒粒子的基因组将由两种亲本毒株的片段重组组成。如果病毒粒子的基因组与其父母的基因组有足够的差异,那么针对父母的治疗方法就可能无效。因此,有必要模拟这种重组现象,以评估新流感病毒株出现的风险。因此,我们决定升级正向模拟器VIRAPOPS,它已经包含了处理非分段病毒群的必要选项。这个新版本可以模仿鸟类、人类和/或猪的单一或连续重组。其他选项,如治疗阳性或阴性感觉病毒rna群体的能力,也被添加。最后,我们提出了输出选项,给出了结果的统计。结论:本文提出了一个新版本的VIRAPOPS,它可以管理病毒片段重组和负感单株RNA病毒,这两个问题是严重的公共卫生问题的原因。
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VIRAPOPS2 supports the influenza virus reassortments.

Background: For over 400 years, due to the reassortment of their segmented genomes, influenza viruses evolve extremely quickly and cause devastating epidemics. This reassortment arises because two flu viruses can infect the same cell and therefore the new virions' genomes will be composed of segment reassortments of the two parental strains. A treatment developed against parents could then be ineffective if the virions' genomes are different enough from their parent's genomes. It is therefore essential to simulate such reassortment phenomena to assess the risk of apparition of new flu strain.

Findings: So we decided to upgrade the forward simulator VIRAPOPS, containing already the necessary options to handle non-segmented viral populations. This new version can mimic single or successive reassortments, in birds, humans and/or swines. Other options such as the ability to treat populations of positive or negative sense viral RNAs, were also added. Finally, we propose output options giving statistics of the results.

Conclusion: In this paper we present a new version of VIRAPOPS which now manages the viral segment reassortments and the negative sense single strain RNA viruses, these two issues being the cause of serious public health problems.

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Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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