Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10753358 | Biochemical and Biophysical Research Communications | 2015 | 6 Pages |
Abstract
We compared MaxEnt with other methods in reconstructing 3D NOESY data acquired with variously reduced sparse sampling schedules and found that MaxEnt is robust, quick and competitive with other methods. Next, nonlinear sampling and MaxEnt processing were applied to 4D NOESY experiments, and the effect of the artefacts of MaxEnt was evaluated by calculating 3D structures from the NOE-derived distance restraints. Our results demonstrated that sufficiently converged and accurate structures (RMSD of 0.91Â Ã
to the mean and 1.36Â Ã
to the reference structures) were obtained even with NOESY spectra reconstructed from 1.6% randomly selected sampling points for indirect dimensions. This suggests that 3D MaxEnt processing in combination with nonlinear sampling schedules is still a useful and advantageous option for rapid acquisition of high-resolution 4D NOESY spectra of proteins.
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Authors
Yoshiki Shigemitsu, Teppei Ikeya, Akihiro Yamamoto, Yuusuke Tsuchie, Masaki Mishima, Brian O. Smith, Peter Güntert, Yutaka Ito,