Key Organics have constructed a BIONET Bromine Fragment Library which includes 314 brominated fragments.
Properties were calculated using DataWarrior1 and FAFDrugs42.
1H NMR were employed to select compounds with the appropriate solution behaviour to be amenable to rigorous biophysical analysis in physiologically relevant aqueous solution. Each singleton sample consisted of nominal 300 μM compound in buffer (50 mM sodium phosphate pH 7.4, 100 mM NaCl). 1H NMR spectra were acquired on a 600 MHz spectrometer equipped with a helium cryoprobe that significantly increased signal-to-noise. Simple 1D 1H NMR spectra were acquired along with a series of 1D 1H CPMG spectra, which were used to detect compounds showing potential aggregation in aqueous solution. The CMC Assist automation software allowed for an automatic readout of the fragment concentration that was experimentally derived from integrating the NMR resonances of each singleton sample and referencing to standardized samples using the ERETIC module (Bruker Spectrospin Inc.)10. The CMC Assist module also allowed for verification of each singleton spectrum to determine if the spectral attributes were consistent with the proposed primary structure of the corresponding fragment. This exercise was also complemented by an automated analysis using Spectral DB software (ACD Inc.).
The spin−spin relaxation Carr−Purcell−Meiboom−Gill NMR experiment has been employed to detect and remove aggregate species from Key Organics BIONET Bromine Fragment library.5
Small molecules can self-assemble in aqueous solution into a wide range of nanoentity types and sizes each having their own unique properties. This has important consequences in the context of drug discovery including issues related to nonspecific binding, oﬀ-target eﬀects, and false positives and negatives. The spin−spin relaxation Carr−Purcell−Meiboom−Gill NMR experiment is sensitive to molecular tumbling rates and can expose larger aggregate species that have slower rotational correlations. The strategy easily distinguishes lone-tumbling molecules versus nanoentities of various sizes. The technique is highly sensitive to chemical exchange between single molecule and aggregate states and can therefore be used as a reporter when direct measurement of aggregates is not possible by NMR.
# clusters at 0.85 similarity = 205 singletons. 248 clusters / 314 fragments = 79%
No Data Found
1. DataWarrior: An Open-Source Program for Chemistry Aware Data Visualization and Analysis. J Chem Inf Model 2015.
2. FAFDrugs4: M.; Miteva, S.; Violas, M.; Montes, D.; Gomez, P.; Tuffery, B.; Villoutreix. Nucleic Acids Research. 2006, 34 (2), W738–W744.
3. Rules for identifying potentially reactive or promiscuous compounds. Bruns et al, J. Med. Chem, 2012 (53).
4. Baell, J. B.; Holloway, G. A. J. Med. Chem. 2010, 53 (7), 2719–2740.
5. Yann Ayotte, Victoria M. Marando, Louis Vaillancourt, Patricia Bouchard, Gregory Heffron, Paul W. Coote, Sacha T. Larda, and Steven R. LaPlante, J. Med. Chem. 2019, 62, 7885−7896.
We maintain good stock levels of our Fragment Libraries. Indeed, a large proportion of our collection is available in gram quantities; this means we can ensure a very high level of re-supply of originally tested compounds.
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