Unknown

Dataset Information

0

ADAPT-NMR 3.0: utilization of BEST-type triple-resonance NMR experiments to accelerate the process of data collection and assignment.


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.

SUBMITTER: Dashti H 

PROVIDER: S-EPMC4687732 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

ADAPT-NMR 3.0: utilization of BEST-type triple-resonance NMR experiments to accelerate the process of data collection and assignment.

Dashti Hesam H   Tonelli Marco M   Markley John L JL  

Journal of biomolecular NMR 20150529 3


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 proc  ...[more]

Similar Datasets

| S-EPMC3299752 | biostudies-literature
| S-EPMC4254601 | biostudies-literature
| S-EPMC2900595 | biostudies-literature
2018-06-08 | GSE107768 | GEO
| S-EPMC4451475 | biostudies-literature
| S-EPMC3091507 | biostudies-literature
| S-EPMC6369734 | biostudies-literature
| S-EPMC4664375 | biostudies-other
| S-EPMC2966349 | biostudies-literature
2018-06-08 | GSE107767 | GEO