Deconvolution of conformational exchange from Raman spectra of aqueous RNA nucleosides.
Deconvolution of conformational exchange from Raman spectra of aqueous RNA nucleosides.
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DOI:
10.1038/s42004-020-0298-x
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发表时间:
2020-05-06
影响因子:
5.9
通讯作者:
Almond, Andrew
中科院分区:
文献类型:
--
作者:
Wilson, Alex L.;Outeiral, Carlos;Dowd, Sarah E.;Doig, Andrew J.;Popelier, Paul L. A.;Waltho, Jonathan P.;Almond, Andrew
Ribonucleic acids (RNAs) are key to the central dogma of molecular biology. While Raman spectroscopy holds great potential for studying RNA conformational dynamics, current computational Raman prediction and assignment methods are limited in terms of system size and inclusion of conformational exchange. Here, a framework is presented that predicts Raman spectra using mixtures of sub-spectra corresponding to major conformers calculated using classical and ab initio molecular dynamics. Experimental optimization allowed purines and pyrimidines to be characterized as predominantly syn and anti, respectively, and ribose into exchange between equivalent south and north populations. These measurements are in excellent agreement with Raman spectroscopy of ribonucleosides, and previous experimental and computational results. This framework provides a measure of ribonucleoside solution populations and conformational exchange in RNA subunits. It complements other experimental techniques and could be extended to other molecules, such as proteins and carbohydrates, enabling biological insights and providing a new analytical tool. The conformational flexibility of monoribonucleotides can make interpreting their vibrational spectra challenging. Here a combination of classical and ab initio molecular dynamics is used to calculate the contributions of different monoribonucleotide conformers to experimental Raman spectra.
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DOI:
10.1107/s2059798318009324
发表时间:
2018-09-01
期刊:
Acta crystallographica. Section D, Structural biology
影响因子:
--
作者:
Afonine PV;Klaholz BP;Moriarty NW;Poon BK;Sobolev OV;Terwilliger TC;Adams PD;Urzhumtsev A
通讯作者:
Urzhumtsev A
影响因子:
2.9
作者:
HOOVER, WG
通讯作者:
HOOVER, WG
影响因子:
4.4
作者:
BECKE, AD
通讯作者:
BECKE, AD
DOI:
10.1126/science.1202692
发表时间:
2011-05-20
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Dunkle JA;Wang L;Feldman MB;Pulk A;Chen VB;Kapral GJ;Noeske J;Richardson JS;Blanchard SC;Cate JH
通讯作者:
Cate JH
影响因子:
4.4
作者:
JORGENSEN, WL;CHANDRASEKHAR, J;KLEIN, ML
通讯作者:
KLEIN, ML