StarMap
StarMap refines 3D atomic models of biological macromolecules into cryogenic electron microscopy (cryo-EM) density maps to improve model fit and assess structural accuracy.
Key Features:
- Monte Carlo sampling: Uses Monte Carlo sampling to explore conformational space for alternative model conformations.
- Local density-guided optimization: Applies local density-guided optimization to improve model fit to cryo-EM maps.
- Rosetta-based all-atom refinement: Performs all-atom refinement using the Rosetta molecular modeling engine.
- Real-space B-factor calculation: Calculates real-space B-factors to assess local model flexibility and accuracy.
- Symmetry adjustments: Implements structural symmetry adjustments for symmetric assemblies.
- Local refinements and independent validation: Supports local refinement procedures and independent model validation workflows.
- Magnification (pixel size) calibration: Performs magnification/pixel size calibration for accurate map scaling.
- Fourier shell correlation (FSC) analysis: Computes Fourier shell correlations for resolution and fit assessment.
- Per-residue Z-scores: Produces per-residue Z-scores as interpretable metrics for goodness of fit and for identifying flexible or potentially functional sites.
Scientific Applications:
- Model refinement and validation: Refinement and validation of atomic models into cryo-EM density maps using quantitative metrics such as FSC and per-residue Z-scores.
- Protein dynamics and flexibility analysis: Characterization of local flexibility and conformational variability using real-space B-factors and Z-scores.
- Functional site identification and structure-guided design: Identification of flexible or functionally relevant regions to inform studies of interactions and structure-guided drug design.
Methodology:
Performs Monte Carlo sampling, local density-guided optimization, Rosetta-based all-atom refinement, real-space B-factor calculation, magnification (pixel size) calibration, Fourier shell correlation computation, structural symmetry adjustments, local refinements, independent model validations, and per-residue Z-score calculation.
Topics
Details
- License:
- BSD-2-Clause
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Perl
- Added:
- 1/25/2023
- Last Updated:
- 1/25/2023
Operations
Publications
Lugmayr W, Kotov V, Goessweiner-Mohr N, Wald J, DiMaio F, Marlovits TC. StarMap: a user-friendly workflow for Rosetta-driven molecular structure refinement. Nature Protocols. 2022;18(1):239-264. doi:10.1038/s41596-022-00757-9. PMID:36323866.