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Hamming chromatography
- Source :
- Scopus-Elsevier
-
Abstract
- Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an 'effective temperature gradient' using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra.
- Subjects :
- Chromatography
Base Sequence
Organic Chemistry
Nucleic Acid Hybridization
General Medicine
DNA
Catalysis
Inorganic Chemistry
RNA, Transfer, Phe
Bacteriophage T7
Drug Discovery
DNA, Viral
Physical and Theoretical Chemistry
Cloning, Molecular
Directed Molecular Evolution
Promoter Regions, Genetic
Molecular Biology
Information Systems
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....3db88fd33ce98aa1249b76a8be4df470