» Articles » PMID: 26021595

ADAPT-NMR 3.0: Utilization of BEST-type Triple-resonance NMR Experiments to Accelerate the Process of Data Collection and Assignment

Overview
Journal J Biomol NMR
Publisher Springer
Date 2015 May 30
PMID 26021595
Authors
Affiliations
Soon will be listed here.
Abstract

ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) is a software package whose Bayesian core uses on-the-fly chemical shift assignments to guide data acquisition by non-uniform sampling from a panel of through-bond NMR experiments. The new version of ADAPT-NMR (ADAPT-NMR v3.0) has the option of utilizing 2D tilted-plane versions of 3D fast spectral acquisition with BEST-type pulse sequences, while also retaining the capability of acquiring and processing data from tilted-plane versions of conventional sensitivity-enhanced experiments. The use of BEST experiments significantly reduces data collection times and leads to enhanced performance by ADAPT-NMR.

References
1.
Deschamps M, Campbell I . Cooling overall spin temperature: protein NMR experiments optimized for longitudinal relaxation effects. J Magn Reson. 2005; 178(2):206-11. DOI: 10.1016/j.jmr.2005.09.011. View

2.
Bahrami A, Tonelli M, Sahu S, Singarapu K, Eghbalnia H, Markley J . Robust, integrated computational control of NMR experiments to achieve optimal assignment by ADAPT-NMR. PLoS One. 2012; 7(3):e33173. PMC: 3299752. DOI: 10.1371/journal.pone.0033173. View

3.
Schanda P, Forge V, Brutscher B . Protein folding and unfolding studied at atomic resolution by fast two-dimensional NMR spectroscopy. Proc Natl Acad Sci U S A. 2007; 104(27):11257-62. PMC: 2040886. DOI: 10.1073/pnas.0702069104. View

4.
Pervushin K, Vogeli B, Eletsky A . Longitudinal (1)H relaxation optimization in TROSY NMR spectroscopy. J Am Chem Soc. 2002; 124(43):12898-902. DOI: 10.1021/ja027149q. View

5.
Orekhov V, Ibraghimov I, Billeter M . Optimizing resolution in multidimensional NMR by three-way decomposition. J Biomol NMR. 2003; 27(2):165-73. DOI: 10.1023/a:1024944720653. View