TY - JOUR A1 - Sreeramulu, Sridhar A1 - Richter, Christian A1 - Kühn, Till A1 - Azzaoui, Kamal A1 - Blommers, Marcel Jules José A1 - Del Conte, Rebecca A1 - Fragai, Marco A1 - Trieloff, Nils A1 - Schmieder, Peter A1 - Nazaré, Marc A1 - Specker, Edgar A1 - Ivanov, Vladimir A1 - Oschkinat, Hartmut A1 - Banci, Lucia A1 - Schwalbe, Harald T1 - NMR quality control of fragment libraries for screening T2 - Journal of biomolecular NMR N2 - 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. KW - Drug discovery KW - FBDD KW - Ligands KW - Fragment KW - Quality control KW - Solubility KW - NMR Y1 - 2020 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/63756 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-637565 SN - 1573-5001 N1 - Open Access funding provided by Projekt DEAL. This work has been supported by iNEXT and iNEXT-discovery, Grant Numbers 653706 and 871037, funded by the Horizon 2020 program of the European Commission. This research was financially supported by the German Cancer Consortium (DKTK) and DFG (SFB807). VL - 74 IS - 10-11 SP - 555 EP - 563 PB - Springer Science + Business Media B.V CY - Dordrecht [u.a.] ER -