NMR quality control of fragment libraries for screening.
Drug discovery
FBDD
Fragment
Ligands
NMR
Quality control
Solubility
Journal
Journal of biomolecular NMR
ISSN: 1573-5001
Titre abrégé: J Biomol NMR
Pays: Netherlands
ID NLM: 9110829
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
received:
01
04
2020
accepted:
05
06
2020
pubmed:
14
6
2020
medline:
27
7
2021
entrez:
14
6
2020
Statut:
ppublish
Résumé
Fragment-based screening has evolved as a remarkable approach within the drug discovery process both in the industry and academia. Fragment screening has become a more structure-based approach to inhibitor development, but also towards development of pathway-specific clinical probes. However, it is often witnessed that the availability, immediate and long-term, of a high quality fragment-screening library is still beyond the reach of most academic laboratories. Within iNEXT (Infrastructure for NMR, EM and X-rays for Translational research), a EU-funded Horizon 2020 program, a collection of 782 fragments were assembled utilizing the concept of "poised fragments" with the aim to facilitate downstream synthesis of ligands with high affinity by fragment ligation. Herein, we describe the analytical procedure to assess the quality of this purchased and assembled fragment library by NMR spectroscopy. This quality assessment requires buffer solubility screening, comparison with LC/MS quality control and is supported by state-of-the-art software for high throughput data acquisition and on-the-fly data analysis. Results from the analysis of the library are presented as a prototype of fragment progression through the quality control process.
Identifiants
pubmed: 32533387
doi: 10.1007/s10858-020-00327-9
pii: 10.1007/s10858-020-00327-9
pmc: PMC7683495
doi:
Substances chimiques
Ligands
0
Small Molecule Libraries
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
555-563Subventions
Organisme : iNEXT, grant number 653706
ID : grant number 653706
Organisme : Deutsche Forschungsgemeinschaft
ID : SFB807
Organisme : H2020 Excellent Science
ID : iNEXT-discovery
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