High-affinity and selective detection of pyrophosphate in water by a resorcinarene salt receptor
Beyeh, N. K., Díez, I., Taimoory, S. M., Meister, D., Feig, A. I., Trant, J. F., Ras, R. H. A., & Rissanen, K. (2018). High-affinity and selective detection of pyrophosphate in water by a resorcinarene salt receptor. Chemical Science, 9(5), 1358-1367. https://doi.org/10.1039/C7SC05167K
Julkaistu sarjassa
Chemical ScienceTekijät
Päivämäärä
2018Tekijänoikeudet
© the Authors, The Royal Society of Chemistry 2018. This is an open access article distributed under the terms of the Creative Commons License.
Pyrophosphate (PPi) is a byproduct of DNA and RNA synthesis, and abnormal levels are indicative of disease. We report the high-affinity binding of PPi in water by N-alkyl ammonium resorcinarene chloride receptors. Experimental analysis using 1H and 31P NMR, isothermal titration calorimetry, mass spectrometry, and UV-vis spectroscopy all support exceptional selectivity of these systems for PPi in water. The measured affinity of K1 = 1.60 × 107 M−1 for PPi is three orders of magnitude larger than that observed for binding to another phosphate, ATP. This exceptional anion-binding affinity in water is explored through a detailed density functional theory computational study. These systems provide a promising avenue for the development of future innovative medical diagnostic tools.
Julkaisija
Royal Society of ChemistryISSN Hae Julkaisufoorumista
2041-6520Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/27918943
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Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiaprofessorin tutkimuskulut, SA; Akatemiaprofessorin tehtävä, SALisätietoja rahoituksesta
The authors gratefully acknowledge financial support from the Academy of Finland (KR: grant no. 265328, 263256 and 292746; NKB: grant no. 258653, RHAR: grant no. 272579), the University of Windsor, Canada, Wayne State University, USA, Aalto University and the University of Jyväskylä, Finland. This work was supported by the Academy of Finland through its Centres of Excellence Programme (HYBER 2014–2019). The authors would also like to thank Schrodinger for extended access to the Jaguar suite, and this work was made possible by the facilities of the Shared Hierarchical Academic Research Computing Network (SHARCNET). ...Lisenssi
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