摘要翻译：
病毒在生物系统中利用各种手段规避免疫检测。为了描述病毒在人类和其他物种的生物系统中的动力学，已经研究了几个数学模型。一种常见的规避和识别病毒的策略是通过搜索引擎在系统中的熟人。从这个角度出发，开发了一个搜索工具，以提供对病毒的结构和其他细节的更广泛的理解，这些都是本文所述的。这提供了充分的知识，在进化和建立病毒，其功能通过信息提取从各种网站。除此之外，工具的目标是自动化与它相关的活动，在一个自我维护，自我持续，积极主动的一个已经通过分析评估，并在本文中讨论。
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英文标题：
《VirusPKT: A Search Tool For Assimilating Assorted Acquaintance For
  Viruses》
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作者：
Jayanthi Manicassamy and P. Dhavachelvan
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最新提交年份：
2009
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Information Retrieval        信息检索
分类描述：Covers indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4.
涵盖索引，字典，检索，内容和分析。大致包括ACM主题课程H.3.0、H.3.1、H.3.2、H.3.3和H.3.4中的材料。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Viruses utilize various means to circumvent the immune detection in the biological systems. Several mathematical models have been investigated for the description of viral dynamics in the biological system of human and various other species. One common strategy for evasion and recognition of viruses is, through acquaintance in the systems by means of search engines. In this perspective a search tool have been developed to provide a wider comprehension about the structure and other details on viruses which have been narrated in this paper. This provides an adequate knowledge in evolution and building of viruses, its functions through information extraction from various websites. Apart from this, tool aim to automate the activities associated with it in a self-maintainable, self-sustainable, proactive one which has been evaluated through analysis made and have been discussed in this paper.
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PDF链接：
https://arxiv.org/pdf/0912.2311