Design, Synthesis, and Structures of Modified RNA/DNA Bases
A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Biomolecular Crystals".
Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 3381
Special Issue Editor
Interests: supramolecular chemistry; crystal engineering; canonical and epigenetic nucleobases; hydrogen bond; halogen bond; X-ray single-crystal; X-ray powder diffraction; theoretical calculations; AFM
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Naturally occurring modified nucleobases, next to the five canonical nucleobases, extend the chemical information content of DNA and RNA. They are known to exert profound effects in a variety of microbiological and mammalian systems as they can be readily incorporated into DNA. Nonetheless, their role in regulating the basic functions in a cell is still largely unexplored. Moreover, over the past two decades, chemically modified nucleobases have been developed as a versatile tool for chemical fine-tuning of artificial DNA in the emerging area of synthetic biology. Indeed, unnatural base pairing may possess higher specificity and thermal stability through a suitable design of artificial nucleobases and yield an artificially expanded genetic information system.
While the emphasis of this Special Issue on the “Design, Synthesis, and Structures of Modified RNA/DNA Bases” is the rational design of new crystal and cocrystal structures of unnatural and epigenetic nucleobases, also including their drug complexes, from X-ray and/or neutron diffraction methods, theoretical analyses are also appropriate.
As Guest Editor, it is my pleasure to invite you to contribute to this issue. Regular articles, communications, as well as reviews are all welcome.
Prof. Dr. Gustavo Portalone
Guest Editor
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Keywords
- Noncanonical DNA base
- Noncanonical RNA base
- Noncanonical base-pairing
- Noncovalent interactions
- Crystal structure
- Quantum chemical calculations
- Energetics and structure prediction
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