Literature DB >> 17603821

Sensitivity enhancement in saturation transfer difference (STD) experiments through optimized excitation schemes.

Brian Cutting1, Sachin V Shelke, Zorica Dragic, Beatrice Wagner, Heiko Gathje, Soerge Kelm, Beat Ernst.   

Abstract

Investigation of ligand-protein interactions by the saturation transfer difference (STD) experiment has been well established in the drug discovery process through numerous examples. Thus, binding epitopes may be mapped by comparing signals of the ligand with and without saturation of the protein. Herein, it is shown that a less selective process allows more protons to assist in the saturation of the protein, thereby considerably enhancing the sensitivity of the STD experiment. Increasing the saturation power entails a greater risk of perturbing the ligand; however, an amplitude modulation of the waveform assists this procedure by distributing the applied energy in sidebands.

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Year:  2007        PMID: 17603821     DOI: 10.1002/mrc.2033

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  4 in total

1.  Target-specific NMR detection of protein-ligand interactions with antibody-relayed 15N-group selective STD.

Authors:  Anasztázia Hetényi; Zsófia Hegedűs; Roberta Fajka-Boja; Éva Monostori; Katalin E Kövér; Tamás A Martinek
Journal:  J Biomol NMR       Date:  2016-11-24       Impact factor: 2.835

2.  Optimising selective excitation pulses to maximise saturation transfer difference NMR spectroscopy.

Authors:  Nathan B Ley; Michelle L Rowe; Richard A Williamson; Mark J Howard
Journal:  RSC Adv       Date:  2014-01-08       Impact factor: 3.361

3.  Comparison of the sensitivities of WaterLOGSY and saturation transfer difference NMR experiments.

Authors:  Aleksandar Antanasijevic; Benjamin Ramirez; Michael Caffrey
Journal:  J Biomol NMR       Date:  2014-09       Impact factor: 2.835

4.  Spin Saturation Transfer Difference NMR (SSTD NMR): A New Tool to Obtain Kinetic Parameters of Chemical Exchange Processes.

Authors:  María Teresa Quirós; Colin Macdonald; Jesús Angulo; María Paz Muñoz
Journal:  J Vis Exp       Date:  2016-11-12       Impact factor: 1.355

  4 in total

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