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Optimizing restriction site placement for synthetic genomes

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Restriction enzymes are the workhorses of molecular biology. We introduce a new problem that 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, and propose effective heuristics, which we show 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.

Original languageEnglish
Title of host publicationCombinatorial Pattern Matching - 21st Annual Symposium, CPM 2010, Proceedings
Pages323-337
Number of pages15
DOIs
StatePublished - 2010
Event21st Annual Symposium on Combinatorial Pattern Matching, CPM 2010 - New York, NY, United States
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6129 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Annual Symposium on Combinatorial Pattern Matching, CPM 2010
Country/TerritoryUnited States
CityNew York, NY
Period06/21/1006/23/10

Keywords

  • Genome refactoring
  • Restriction enyzme placement
  • Synthetic biology

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