Chemical shift prediction of RNA imino groups: application toward characterizing RNA excited states

Yanjiao Wang, Ge Han, Xiuying Jiang, Tairan Yuwen and Yi Xue ()
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Yanjiao Wang: Tsinghua University
Ge Han: Tsinghua University
Xiuying Jiang: Tsinghua University
Tairan Yuwen: Peking University
Yi Xue: Tsinghua University

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: Abstract NH groups in proteins or nucleic acids are the most challenging target for chemical shift prediction. Here we show that the RNA base pair triplet motif dictates imino chemical shifts in its central base pair. A lookup table is established that links each type of base pair triplet to experimental chemical shifts of the central base pair, and can be used to predict imino chemical shifts of RNAs to remarkable accuracy. Strikingly, the semiempirical method can well interpret the variations of chemical shifts for different base pair triplets, and is even applicable to non-canonical motifs. This finding opens an avenue for predicting chemical shifts of more complicated RNA motifs. Furthermore, we combine the imino chemical shift prediction with NMR relaxation dispersion experiments targeting both 15N and 1HN of the imino group, and verify a previously characterized excited state of P5abc subdomain including an earlier speculated non-native G•G mismatch.

Date: 2021
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DOI: 10.1038/s41467-021-21840-x

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