WeNMR
WeNMR facilitates analysis of Nuclear Magnetic Resonance (NMR) and Small Angle X-Ray Scattering (SAXS) data to derive atomic and near-atomic resolution molecular structures.
Key Features:
- Integration of software packages: Consolidates multiple structural biology software tools for coordinated computational analysis of NMR and SAXS data.
- Standardized computational workflows: Provides established workflows for processing and analyzing NMR spectroscopy and SAXS datasets.
- Grid computing infrastructure: Distributes computational tasks across a Grid to enable scalable job submission and handling.
- Structure determination outputs: Produces atomic and near-atomic resolution molecular structure models from experimental NMR and SAXS data.
Scientific Applications:
- NMR spectroscopy data analysis: Processing and interpretation of Nuclear Magnetic Resonance datasets.
- SAXS data analysis: Processing and modeling of Small Angle X-Ray Scattering experimental data.
- Molecular structure determination: Derivation of atomic and near-atomic resolution structures from experimental data.
Methodology:
Consolidation of structural biology software into standardized computational workflows executed on a Grid computing infrastructure for distributed job submission and handling.
Topics
Collections
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/16/2015
- Last Updated:
- 11/26/2019
Operations
Data Inputs & Outputs
Spectral analysis
Inputs
Outputs
Publications
Wassenaar TA, van Dijk M, Loureiro-Ferreira N, van der Schot G, de Vries SJ, Schmitz C, van der Zwan J, Boelens R, Giachetti A, Ferella L, Rosato A, Bertini I, Herrmann T, Jonker HRA, Bagaria A, Jaravine V, Güntert P, Schwalbe H, Vranken WF, Doreleijers JF, Vriend G, Vuister GW, Franke D, Kikhney A, Svergun DI, Fogh RH, Ionides J, Laue ED, Spronk C, Jurkša S, Verlato M, Badoer S, Dal Pra S, Mazzucato M, Frizziero E, Bonvin AMJJ. WeNMR: Structural Biology on the Grid. Journal of Grid Computing. 2012;10(4):743-767. doi:10.1007/s10723-012-9246-z.