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Article . 2012
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Optimizing Restriction Site Placement for Synthetic Genomes

Authors: Heraldo Memelli; Joseph S. B. Mitchell; Charles B. Ward; Steven Skiena; Pablo Montes; Joondong Kim;

Optimizing Restriction Site Placement for Synthetic Genomes

Abstract

AbstractRestriction enzymes are the workhorses of molecular biology. We introduce a new problem which arises in the course of our project to design virus variants to serve as potential vaccines: we wish to modify virus-length genomes to introduce large numbers of unique restriction enzyme recognition sites while preserving wild-type function by substitution of synonymous codons. We show that the resulting problem is NP-Complete, give an exponential-time algorithm, as well as well-performing heuristics, and give excellent results for five sample viral genomes. Our resulting modified genomes have several times more unique restriction sites and reduce the maximum gap between adjacent sites by three to nine-fold.

Related Organizations
Keywords

Computational Theory and Mathematics, Synthetic biology, Restriction enzyme placement, Genome refactoring, Theoretical Computer Science, Information Systems, Computer Science Applications

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
hybrid