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Deconstruction of the Ras switching cycle through saturation mutagenesis
Open accessAbstract
Ras proteins are highly conserved signaling molecules that exhibit regulated, nucleotide-dependent switching between active and inactive states. The high conservation of Ras requires mechanistic explanation, especially given the general mutational tolerance of proteins. Here, we use deep mutational scanning, biochemical analysis and molecular simulations to understand constraints on Ras sequence. Ras exhibits global sensitivity to mutation when regulated by a GTPase activating protein and a nucleotide exchange factor. Removing the regulators shifts the distribution of mutational effects to be largely neutral, and reveals hotspots of activating mutations in residues that restrain Ras dynamics and promote the inactive state. Evolutionary analysis, combined with structural and mutational data, argue that Ras has co-evolved with its regulators in the vertebrate lineage. Overall, our results show that sequence conservation in Ras depends strongly on the biochemical network in which it operates, providing a framework for understanding the origin of global selection pressures on proteins.
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“RAS mutants were once viewed as being ‘locked’ in the GTP-bound ‘on’ state, impervious to GAP-stimulated or intrinsic GTP hydrolysis, and hence undruggable. However, detailed structural and biochemical analyses of various RAS mutants associated with cancer and ‘RASopathies’”
From The current state of the art and future trends in RAS-targeted cancer therapies (2022) · cites this paper as [48]
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“Some oncogenic mutants, notably KRASG12C (G12C) and, to a lesser extent, KRASG12D (G12D), retain significant intrinsic GTPase activity.”
From SHP2 inhibition diminishes KRASG12C cycling and promotes tumor microenvironment remodeling (2021) · cites this paper as Bandaru et al., 2017
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PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
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Overview of the CCP 4 suite and current developments
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Metadata
- Authors
- Bandaru, P., Shah, N. H., Bhattacharyya, M., Barton, J. P., Kondo, Y., Cofsky, J. C., Gee, C. L., Chakraborty, A. K., Kortemme, T., Ranganathan, R., & Kuriyan, J.
- Affiliations
- QB3 (US)
- Ragon Institute of MGH, MIT and Harvard (US)
- University of California, San Francisco (US)
- The University of Texas Southwestern Medical Center (US)
- Corresponding author
- Ranganathan, Rama
- Kuriyan, John
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2017-07-07
- Volume
- 6
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC5538825
- OpenAlex
- W2727251566
- Cited by
- 117
- References
- 91
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 7 · 2023: 14 · 2022: 16 · 2021: 19 · 2020: 11 · 2019: 11 · 2018: 13 · 2017: 3
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Damon Runyon Cancer Research Foundation
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- Ras proteins, deep mutational scanning, saturation mutagenesis, GTPase-activating protein, nucleotide exchange factor, mutational tolerance, sequence conservation
- MeSH terms
- DNA Mutational Analysis, Humans, Mutagenesis, Conserved Sequence, ras Proteins, Evolution, Molecular, Protein Interaction Maps
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