Computational Fitness Landscape for All Gene-Order Permutations of an RNA Virus
نویسندگان
چکیده
منابع مشابه
Computational Fitness Landscape for All Gene-Order Permutations of an RNA Virus
How does the growth of a virus depend on the linear arrangement of genes in its genome? Answering this question may enhance our basic understanding of virus evolution and advance applications of viruses as live attenuated vaccines, gene-therapy vectors, or anti-tumor therapeutics. We used a mathematical model for vesicular stomatitis virus (VSV), a prototype RNA virus that encodes five genes (N...
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The origin of life is believed to have progressed through an RNA world, in which RNA acted as both genetic material and functional molecules. The structure of the evolutionary fitness landscape of RNA would determine natural selection for the first functional sequences. Fitness landscapes are the subject of much speculation, but their structure is essentially unknown. Here we describe a compreh...
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Almost all problems targeted by evolutionary computation are black-box or heavily complex, and their fitness landscapes usually are unknown. Selection of the appropriate search algorithm and parameters is a crucial topic when the landscape of a given target problem could be unknown in advance. Although several landscape features have been proposed in this context, examining a variety of landsca...
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ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2009
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1000283