Literature DB >> 33707433

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

Yanjiao Wang1, Ge Han1, Xiuying Jiang1, Tairan Yuwen2, Yi Xue3.   

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.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33707433     DOI: 10.1038/s41467-021-21840-x

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  48 in total

1.  Prediction of proton chemical shifts in RNA. Their use in structure refinement and validation.

Authors:  J A Cromsigt; C W Hilbers; S S Wijmenga
Journal:  J Biomol NMR       Date:  2001-09       Impact factor: 2.835

2.  Fast and accurate predictions of protein NMR chemical shifts from interatomic distances.

Authors:  Kai J Kohlhoff; Paul Robustelli; Andrea Cavalli; Xavier Salvatella; Michele Vendruscolo
Journal:  J Am Chem Soc       Date:  2009-10-07       Impact factor: 15.419

3.  Automated 1H and 13C chemical shift prediction using the BioMagResBank.

Authors:  D S Wishart; M S Watson; R F Boyko; B D Sykes
Journal:  J Biomol NMR       Date:  1997-12       Impact factor: 2.835

4.  SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network.

Authors:  Yang Shen; Ad Bax
Journal:  J Biomol NMR       Date:  2010-07-14       Impact factor: 2.835

5.  Automated prediction of 15N, 13Calpha, 13Cbeta and 13C' chemical shifts in proteins using a density functional database.

Authors:  X P Xu; D A Case
Journal:  J Biomol NMR       Date:  2001-12       Impact factor: 2.835

6.  SHIFTX2: significantly improved protein chemical shift prediction.

Authors:  Beomsoo Han; Yifeng Liu; Simon W Ginzinger; David S Wishart
Journal:  J Biomol NMR       Date:  2011-03-30       Impact factor: 2.835

7.  Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression.

Authors:  Joshua D Brown; Michael F Summers; Bruce A Johnson
Journal:  J Biomol NMR       Date:  2015-07-04       Impact factor: 2.835

8.  Automated Fragmentation QM/MM Calculation of Amide Proton Chemical Shifts in Proteins with Explicit Solvent Model.

Authors:  Tong Zhu; John Z H Zhang; Xiao He
Journal:  J Chem Theory Comput       Date:  2013-03-11       Impact factor: 6.006

9.  Relationship between nuclear magnetic resonance chemical shift and protein secondary structure.

Authors:  D S Wishart; B D Sykes; F M Richards
Journal:  J Mol Biol       Date:  1991-11-20       Impact factor: 5.469

10.  Database proton NMR chemical shifts for RNA signal assignment and validation.

Authors:  Shawn Barton; Xiao Heng; Bruce A Johnson; Michael F Summers
Journal:  J Biomol NMR       Date:  2012-11-23       Impact factor: 2.835

View more
  3 in total

1.  1H NMR Chemical Exchange Techniques Reveal Local and Global Effects of Oxidized Cytosine Derivatives.

Authors:  Romeo C A Dubini; Eva Korytiaková; Thea Schinkel; Pia Heinrichs; Thomas Carell; Petra Rovó
Journal:  ACS Phys Chem Au       Date:  2022-02-11

2.  Rational design of hairpin RNA excited states reveals multi-step transitions.

Authors:  Ge Han; Yi Xue
Journal:  Nat Commun       Date:  2022-03-21       Impact factor: 14.919

Review 3.  Isotope Labels Combined with Solution NMR Spectroscopy Make Visible the Invisible Conformations of Small-to-Large RNAs.

Authors:  Theodore K Dayie; Lukasz T Olenginski; Kehinde M Taiwo
Journal:  Chem Rev       Date:  2022-04-20       Impact factor: 72.087

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.