Published in

Beilstein-Institut, Beilstein Journal of Organic Chemistry, (14), p. 84-105, 2018

DOI: 10.3762/bjoc.14.5

Links

Tools

Export citation

Search in Google Scholar

Polarization spectroscopy methods in the determination of interactions of small molecules with nucleic acids – tutorial

Journal article published in 2018 by Tamara Šmidlehner ORCID, Ivo Piantanida, Gennaro Pescitelli ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Orange circle
Preprint: archiving restricted
Orange circle
Postprint: archiving restricted
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

The structural characterization of non-covalent complexes between nucleic acids and small molecules (ligands) is of a paramount significance to bioorganic research. Highly informative methods about nucleic acid/ligand complexes such as single crystal X-ray diffraction or NMR spectroscopy cannot be performed under biologically compatible conditions and are extensively time consuming. Therefore, in search for faster methods which can be applied to conditions that are at least similar to the naturally occurring ones, a set of polarization spectroscopy methods has shown highly promising results. Electronic circular dichroism (ECD) is the most commonly used method for the characterization of the helical structure of DNA and RNA and their complexes with ligands. Less common but complementary to ECD, is flow-oriented linear dichroism (LD). Other methods such as vibrational CD (VCD) and emission-based methods (FDCD, CPL), can also be used for suitable samples. Despite the popularity of polarization spectroscopy in biophysics, aside several highly focused reviews on the application of these methods to DNA/RNA research, there is no systematic tutorial covering all mentioned methods as a tool for the characterization of adducts between nucleic acids and small ligands. This tutorial aims to help researchers entering the research field to organize experiments accurately and to interpret the obtained data reliably.