A Simple and Fast Approach for Predicting 1H and 13C Chemical Shifts: Toward Chemical Shift-Guided Simulations of RNA
Author(s) -
Aaron T. Frank,
Sean M. Law,
Charles L. Brooks
Publication year - 2014
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/jp508342x
Subject(s) - chemical shift , rna , simple (philosophy) , molecular dynamics , chemical space , biological system , sampling (signal processing) , algorithm , computer science , chemistry , computational chemistry , statistical physics , physics , biology , biochemistry , philosophy , epistemology , filter (signal processing) , computer vision , gene , drug discovery
We introduce a simple and fast approach for predicting RNA chemical shifts from interatomic distances that performs with an accuracy similar to existing predictors and enables the first chemical shift-restrained simulations of RNA to be carried out. Our analysis demonstrates that the applied restraints can effectively guide conformational sampling toward regions of space that are more consistent with chemical shifts than the initial coordinates used for the simulations. As such, our approach should be widely applicable in mapping the conformational landscape of RNAs via chemical shift-guided molecular dynamics simulations. The simplicity and demonstrated sensitivity to three-dimensional structure should also allow our method to be used in chemical shift-based RNA structure prediction, validation, and refinement.
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