CS-ROSETTA3
CS-ROSETTA3 generates three-dimensional protein models from NMR chemical shift data using the specified shifts 13Cα, 13Cβ, 13C', 15N, 1Hα, and 1Hν to inform structure prediction.
Key Features:
- Input Specificity: The tool exclusively uses selected NMR chemical shifts (13Cα, 13Cβ, 13C', 15N, 1Hα, and 1Hν) to inform protein model generation.
- Integration with WeNMR: CS-ROSETTA3 is integrated into the WeNMR project and participates in automated workflows for analysis of NMR and SAXS imaging data.
- Grid Computing Infrastructure: Calculations are distributed across a Grid computing infrastructure to provide enhanced computational power and handle complex jobs.
Scientific Applications:
- Protein structure prediction: Reconstruction of three-dimensional protein structures from backbone and side-chain NMR chemical shifts.
- NMR and SAXS data analysis: Use within workflows that combine NMR chemical shift information with SAXS imaging data for molecular structure analysis.
- Structural biology modeling: Support for diverse structural biology modeling tasks by distributing complex jobs across Grid resources.
Methodology:
Uses the specified NMR chemical shifts (13Cα, 13Cβ, 13C', 15N, 1Hα, 1Hν) as input to generate 3D protein models, with calculations distributed across a Grid computing infrastructure and executed within WeNMR automated workflows.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 10/3/2016
- Last Updated:
- 11/26/2019
Operations
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.