ArticleMethods in enzymology2019
CS-ROSETTA.
Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- The ALS-associated E425K mutation uncouples DNAJC7 from the Hsp70 chaperone cycle.The FEBS journal · 2026Article
- Multistate and functional protein design using RoseTTAFold sequence space diffusion.Nature biotechnology · 2025Article
- Deep Neural Networks Based on Sp7 Protein Sequence Prediction in Peri-Implant Bone Formation.International journal of dentistry · 2025Article
- Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence.Journal of biomolecular NMR · 2024Article
- [Bioinformatics analysis and validation of the interaction between PML protein and TAB1 protein].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Probing excited stateMethods (San Diego, Calif.) · 2023Article
- NMR-Chemical-Shift-Driven Protocol Reveals the Cofactor-Bound, Complete Structure of Dynamic Intermediates of the Catalytic Cycle of Oncogenic KRAS G12C Protein and the Significance of the MgInternational journal of molecular sciences · 2023Article
- Functional regulation of an intrinsically disordered protein via a conformationally excited state.Science advances · 2023Article
- Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023Review
- Epitope-focused immunogen design based on the ebolavirus glycoprotein HR2-MPER region.PLoS pathogens · 2022Article
- An engineered construct of cFLIP provides insight into DED1 structure and interactions.Structure (London, England : 1993) · 2022Article
- Improvements and new functionalities of UNRES server for coarse-grained modeling of protein structure, dynamics, and interactions.Frontiers in molecular biosciences · 2022Article
- Canine Adenovirus 1 Isolation Bioinformatics Analysis of the Fiber.Frontiers in cellular and infection microbiology · 2022Article
- DnaJC7 binds natively folded structural elements in tau to inhibit amyloid formation.Nature communications · 2021Article
- Modeling of Hidden Structures Using Sparse Chemical Shift Data from NMR Relaxation Dispersion.Biophysical journal · 2021Article
- Combining Experimental Data and Computational Methods for the Non-Computer Specialist.Molecules (Basel, Switzerland) · 2020Review
- Macromolecular modeling and design in Rosetta: recent methods and frameworks.Nature methods · 2020Review
- Structural proteomics, electron cryo-microscopy and structural modeling approaches in bacteria-human protein interactions.Medical microbiology and immunology · 2020Review
- Better together: Elements of successful scientific software development in a distributed collaborative community.PLoS computational biology · 2020Review
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Chemical Shift-Rosetta (CS-Rosetta) is an automated method that employs NMR chemical shifts to model protein structures de novo. In this chapter, we introduce the terminology and central concepts of CS-Rosetta. We describe the architecture and functionality of automatic NOESY assignment (AutoNOE) and structure determination protocols (Abrelax and RASREC) within the CS-Rosetta framework. We further demonstrate how CS-Rosetta can discriminate near-native structures against a large conformational search space using restraints obtained from NMR data, and/or sequence and structure homology. We highlight how CS-Rosetta can be combined with alternative automated approaches to (i) model oligomeric systems and (ii) create NMR-based structure determination pipeline. To show its practical applicability, we emphasize on the computational requirements and performance of CS-Rosetta for protein targets of varying molecular weight and complexity. Finally, we discuss the current Python interface, which enables easy execution of protocols for rapid and accurate high-resolution structure determination.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.