Instruct-ERIC

Instruct-ERIC integrates high-end structural biology services and experimental data to support translational research in protein structure and function.


Key Features:

  • Comprehensive Integration: Integrates experimental methods including NMR spectroscopy, solid-state NMR, quantitative in-cell NMR, cryo-electron microscopy (cryo-EM), cryo-FIB micromachining, and X-ray crystallography.
  • Automation and Efficiency: Provides automated workflows and automated crystallography pipelines to process and increase throughput of complex datasets from high-throughput and fragment-based screening.
  • Data Management and Analysis: Offers robust data management for storage and retrieval and supports advanced analytical tools for analysis of large experimental datasets.

Scientific Applications:

  • Fragment-Based Lead Discovery: Supports fragment-based lead discovery using nano-differential scanning fluorimetry and NMR-based fragment screening with minimal sample requirements.
  • Protein–Ligand Interaction Studies: Enables real-time quantitative in-cell NMR to monitor protein–ligand interactions within human cells.
  • High-Resolution Structural Analysis: Facilitates high-resolution studies of proteins embedded in natural membranes using solid-state NMR.
  • Cryo-EM and Cryo-FIB Micromachining: Supports cryo-FIB micromachining workflows for sample preparation and cryo-electron tomography data acquisition.

Methodology:

Automated workflows and automated crystallography pipelines (EMBL HTX) for data management and analysis of high-throughput and fragment screening datasets.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Windows, Linux
Added:
5/24/2022
Last Updated:
5/24/2022

Operations

Publications

Wienk H, Banci L, Daenke S, Pereiro E, Schwalbe H, Stuart DI, Weiss MS, Perrakis A. iNEXT-Discovery and Instruct-ERIC: Integrating High-End Services for Translational Research in Structural Biology. Journal of Visualized Experiments. 2021. doi:10.3791/63435. PMID:34866631.