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Evolution of abiotic cubane chemistries in a nucleic acid aptamer allows selective recognition of a malaria biomarker.

Yee-Wai CheungPascal RöthlisbergerAriel E MechalyPatrick WeberFabienne Levi-AcobasYoung LoAlvin W C WongAndrew B KinghornAhmed HaouzG Paul SavageMarcel R HollensteinJulian Alexander Tanner
Published in: Proceedings of the National Academy of Sciences of the United States of America (2020)
Nucleic acid aptamers selected through systematic evolution of ligands by exponential enrichment (SELEX) fold into exquisite globular structures in complex with protein targets with diverse translational applications. Varying the chemistry of nucleotides allows evolution of nonnatural nucleic acids, but the extent to which exotic chemistries can be integrated into a SELEX selection to evolve nonnatural macromolecular binding interfaces is unclear. Here, we report the identification of a cubane-modified aptamer (cubamer) against the malaria biomarker Plasmodium vivax lactate dehydrogenase (PvLDH). The crystal structure of the complex reveals an unprecedented binding mechanism involving a multicubane cluster within a hydrophobic pocket. The binding interaction is further stabilized through hydrogen bonding via cubyl hydrogens, previously unobserved in macromolecular binding interfaces. This binding mechanism allows discriminatory recognition of P. vivax over Plasmodium falciparum lactate dehydrogenase, thereby distinguishing these highly conserved malaria biomarkers for diagnostic applications. Together, our data demonstrate that SELEX can be used to evolve exotic nucleic acids bearing chemical functional groups which enable remarkable binding mechanisms which have never been observed in biology. Extending to other exotic chemistries will open a myriad of possibilities for functional nucleic acids.
Keyphrases
  • plasmodium falciparum
  • nucleic acid
  • dna binding
  • binding protein
  • gold nanoparticles
  • transcription factor
  • high resolution
  • minimally invasive
  • machine learning
  • big data
  • amino acid
  • artificial intelligence