Published September 28, 2018 | Version 1.0.0

PanDDA analysis of DCP2B screened against DSPL/DSi Poised, OxXChem fragment libraries and initial follow up chemistry

  • 1. University of Oxford
  • 2. Diamond Light Source/ University of Oxford

Description

SGC Oxford has performed a crystallographic fragment screen, and initial follow up chemistry on the Human m7GpppN-mRNA Hydrolase (DCP2/NUDT20, UniProtKB - QIU60). All structures with clearly identifiable ligands were deposited in the Protein Data Bank under Group Deposition ID G_1002061, the corresponding apo structures are deposited under Group Deposition ID G_1002062.

Experiment

Crystals were prepared at the XChem facility of the Diamond Light Source (DLS). Briefly, crystals were soaked overnight with two fragment libraries; the Diamond- SGC Poised Library set (Cox et al., 2016) and the OxXChem set with nominal fragment concentrations of 100 mM, with DMSO at 20% v/v. Additionally, a series of follow-up compounds based on an initial fragment hit was synthesized and soaked overnight with nominal compound concentrations of 10-200 mM, with DMSO at 20% v/v. All datasets were collected at MX beamlines at DLS. Autoprocessed datasets were analysed by Pan-Dataset Density Analysis (PanDDA) (Pearce et al., 2017). All ligands that were clearly identifiable in PanDDA event maps were modelled, refined and deposited into the PDB.

Content

This repository contains:

Modelled Data

  • Organised by crystal identifier, each folder contains:
    • Autoprocessing data from Diamond Light Source automated pipelines (including MTZ)
    • PDB, CIF & PNG files of all the soaked compounds
    • PanDDA event maps
    • Final refine.pdb and refine.mtz files of all ligand bound structure
      • Superposed structures (refine.pdb)
      • Separated bound & ground states (refine.split.bound.pdb & refine.split.ground.pdb)

PanDDA Analysis Data

  • This is split into two directories. This split is only due to technical limitations at the time of preparation of the data, and the timeliness of the data.
    • All results from the PanDDA analysis, including ground-state-mean maps and PanDDA event & Z-maps for all ligand bound structures. 

Notes

This work was supported by funding from the Engineering and Physical Sciences Research Council (EPSRC) and the Medical Research Council (MRC) [grant number EP/L016044/1]. ERN acknowledges support provided by Novartis & UCB Pharma. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada, Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA Darmstadt Germany, MSD, Novartis Pharma AG, Ontario Ministry of Economic Development and Innovation, Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome [106169/ZZ14/Z].

Files

initial_model.zip

Files (33.3 GB)

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Additional details

References

  • Pearce, N. M., Krojer, T., Bradley, A. R., Collins, P., Nowak, R. P., Talon, R., … von Delft, F. (2017). A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nature Communications, 8, 15123. https://doi.org/10.1038/ncomms15123
  • Cox, O. B., & et al. (2016). A poised fragment library enables rapid synthetic expansion yielding the first reported inhibitors of PHIP(2), an atypical bromodomain. Chem. Sci., 7(3), 2322–2330. https://doi.org/10.1039/C5SC03115J