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Unnatural bases for recognition of noncoding nucleic acid interfaces

期刊

BIOPOLYMERS
卷 112, 期 1, 页码 -

出版社

WILEY
DOI: 10.1002/bip.23399

关键词

chemical biology; DNA; RNA; synthetic biology; unnatural base

资金

  1. National Institutes of Health [GM111995-01A1]
  2. National Aeronautics and Space Administration [GRT00044810]
  3. National Science Foundation [DMR 1802432]
  4. Center of RNA Biology of The Ohio State University

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The concept of using synthetic heterocycles in place of natural bases to interact with DNA and RNA has been studied for almost 60 years, with potential to expand genetic code and access new molecular functions. While much research focuses on code expansion, there is also increasing effort in docking synthetic heterocycles to noncoding nucleic acid interfaces to elucidate major nucleic acid processes. Both coding and noncoding interface research share fundamental principles in molecular recognition.
The notion of using synthetic heterocycles instead of the native bases to interface with DNA and RNA has been explored for nearly 60 years. Unnatural bases compatible with the DNA/RNA coding interface have the potential to expand the genetic code and co-opt the machinery of biology to access new macromolecular function; accordingly, this body of research is core to synthetic biology. While much of the literature on artificial bases focuses on code expansion, there is a significant and growing effort on docking synthetic heterocycles to noncoding nucleic acid interfaces; this approach seeks to illuminate major processes of nucleic acids, including regulation of transcription, translation, transport, and transcript lifetimes. These major avenues of research at the coding and noncoding interfaces have in common fundamental principles in molecular recognition. Herein, we provide an overview of foundational literature in biophysics of base recognition and unnatural bases in coding to provide context for the developing area of targeting noncoding nucleic acid interfaces with synthetic bases, with a focus on systems developed through iterative design and biophysical study.

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