Effective protocol for database similarity searching of heteronuclear single quantum coherence spectra.
The nuclear magnetic resonance (NMR) chemical shift exquisitely describes the chemical environment of the atoms in a molecule. Here we describe methods that utilize this information as an experimental probe to match 2D NMR heteronuclear single quantum coherence (HSQC) spectra of pure, unknown compounds to a database of known compounds. We implemented and compared two different approaches for similarity searching of HSQC spectra. According to our findings, our new discrete self-adaptive differential evolution method performs better than the previously published shifted grid, multiple resolution approach. The new method is provided in detail and comparisons have been performed for a set of HSQC spectra. The similarity comparison involves a peak-to-peak matching of different spectra, followed by a selection criterion and ranking to establish a level of match.
Pierens
Gregory K
GK
Centre for Magnetic Resonance, The University of Queensland, Brisbane, Queensland 4072, Australia. greg.pierens@cmr.uq.edu.au
Mobli
Mehdi
M
Vegh
Viktor
V
D000465:Algorithms; D016208:Databases, Factual; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D009930:Organic Chemicals / Q000737:chemistry*
D009930:Organic Chemicals