Hamming Distance as a Concept in DNA Molecular Recognition

Author(s)
Mina Mohammadi-Kambs, Kathrin Hölz, Mark Manuel Somoza, Albrecht Ott
Abstract

DNA microarrays constitute an in vitro example system of a highly crowded molecular recognition environment. Although they are widely applied in many biological applications, some of the basic mechanisms of the hybridization processes of DNA remain poorly understood. On a microarray, cross-hybridization arises from similarities of sequences that may introduce errors during the transmission of information. Experimentally, we determine an appropriate distance, called minimum Hamming distance, in which the sequences of a set differ. By applying an algorithm based on a graph-theoretical method, we find large orthogonal sets of sequences that are sufficiently different not to exhibit any cross-hybridization. To create such a set, we first derive an analytical solution for the number of sequences that include at least four guanines in a row for a given sequence length and eliminate them from the list of candidate sequences. We experimentally confirm the orthogonality of the largest possible set with a size of 23 for the length of 7. We anticipate our work to be a starting point toward the study of signal propagation in highly competitive environments, besides its obvious application in DNA high throughput experiments.

Organisation(s)
Department of Inorganic Chemistry
External organisation(s)
Universität des Saarlandes
Journal
ACS Omega
Volume
2
Pages
1302-1308
No. of pages
7
ISSN
2470-1343
DOI
https://doi.org/10.1021/acsomega.7b00053
Publication date
04-2017
Peer reviewed
Yes
Austrian Fields of Science 2012
106006 Biophysics, 104004 Chemical biology
ASJC Scopus subject areas
General Chemical Engineering, General Chemistry
Portal url
https://ucrisportal.univie.ac.at/en/publications/fd78b52b-d0b3-4ecd-abca-59260203fd39