DNA-Templated Synthesis Optimization

Bjarke N. Hansen, Kim Skak Larsen, Daniel Merkle, Alexei Mihalchuk

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In chemistry, synthesis is the process in which a target compound is produced in a step-wise manner from given base compounds. A recent, promising approach for carrying out these reactions is DNA-templated synthesis, since, as opposed to more traditional methods, this approach leads to a much higher effective molarity and makes much desired one-pot synthesis possible. With this method, compounds are tagged with DNA sequences and reactions can be controlled by bringing two compounds together via their tags. This leads to new cost optimization problems of minimizing the number of different tags or strands to be used under various conditions. We identify relevant optimization criteria, provide the first computational approach to automatically inferring DNA-templated programs, and obtain optimal and near-optimal results.
Original languageEnglish
Title of host publication23rd International Conference on DNA Computing and Molecular Programming
EditorsRobert Brijder, Lulu Qian
PublisherSpringer
Publication date2017
Pages17-32
ISBN (Print)978-3-319-66798-0
ISBN (Electronic)978-3-319-66799-7
DOIs
Publication statusPublished - 2017
Event23rd International Conference on DNA Computing and Molecular Programming - Austin, United States
Duration: 24. Sept 201728. Sept 2017
Conference number: 23

Conference

Conference23rd International Conference on DNA Computing and Molecular Programming
Number23
Country/TerritoryUnited States
CityAustin
Period24/09/201728/09/2017
SeriesLecture Notes in Computer Science
Volume10467
ISSN0302-9743

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