FLAMEnGO: a fuzzy logic approach for methyl group assignment using NOESY and paramagnetic relaxation enhancement data.
J Magn Reson
; 214(1): 103-10, 2012 Jan.
Article
in En
| MEDLINE
| ID: mdl-22134225
ABSTRACT
Building on a recent method by Matthews and co-workers [1], we developed a new and efficient algorithm to assign methyl resonances from sparse and ambiguous NMR data. The new algorithm (FLAMEnGO Fuzzy Logic Assignment of MEthyl GrOups) uses Monte Carlo sampling in conjunction with fuzzy logic to obtain the assignment of methyl resonances at high fidelity. Furthermore, we demonstrate that the inclusion of paramagnetic relaxation enhancement (PRE) data in the assignment strategy increases the percentage of correct assignments with sparse NOE data. Using synthetic tests and experimental data we show that this new approach provides up to â¼80% correct assignments with only 30% of methyl-methyl NOE data. In the experimental case of ubiquitin, PRE data from two spin labeled sites improve the percentage of assigned methyl groups up to â¼91%. This new strategy promises to further expand methyl group NMR spectroscopy to very large macromolecular systems.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Magnetic Resonance Spectroscopy
/
Fuzzy Logic
/
Ubiquitin
/
Methane
Language:
En
Journal:
J Magn Reson
Year:
2012
Document type:
Article