StarMap: a user-friendly workflow for Rosetta-driven molecular structure refinement

Wolfgang Lugmayr, Vadim Kotov, Nikolaus Goessweiner-Mohr, Jiri Wald, Frank DiMaio, Thomas C. Marlovits

Published: 2022-11-01 DOI: 10.1038/s41596-022-00757-9

Cryo-EM

StarMap

Rosetta refinement

Monte Carlo sampling

Structural validation

AI 解读

Extraction of nuclei from archived postmortem tissues for single-nucleus sequencing applications

High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation

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Experimental modulation of physiological force application on leg joint neurons in intactDrosophila melanogaster

Combining surface-accessible Ag and Au colloidal nanomaterials with SERS for in situ analysis of molecule–metal interactions in complex solution environments

Generation of mouse–human chimeric embryos

Labeling and tracking of immune cells in ex vivo human skin

Large-scale preparation of fluorescence multiplex host cell reactivation (FM-HCR) reporters

Mutate-and-chemical-shift-fingerprint (MCSF) to characterize excited states in RNA using NMR spectroscopy

Comprehensive multi-attribute method workflow for biotherapeutic characterization and current good manufacturing practices testing

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Cryogenic electron microscopy (cryo-EM) data represent density maps of macromolecular systems at atomic or near-atomic resolution. However, building and refining 3D atomic models by using data from cryo-EM maps is not straightforward and requires signific
Introduction
Materials
Procedure
Troubleshooting
Timing
Anticipated results
- References
- References
References
ACKNOWLEDGMENTS
ACKNOWLEDGMENTS

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StarMap: a user-friendly workflow for Rosetta-driven molecular structure refinement

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