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The Ribosome as an Optimal Decoder: A Lesson in Molecular Recognition
Open accessAbstract
The ribosome is a complex molecular machine that, in order to synthesize proteins, has to decode mRNAs by pairing their codons with matching tRNAs. Decoding is a major determinant of fitness and requires accurate and fast selection of correct tRNAs among many similar competitors. However, it is unclear whether the modern ribosome, and in particular its large conformational changes during decoding, are the outcome of adaptation to its task as a decoder or the result of other constraints. Here, we derive the energy landscape that provides optimal discrimination between competing substrates and thereby optimal tRNA decoding. We show that the measured landscape of the prokaryotic ribosome is sculpted in this way. This model suggests that conformational changes of the ribosome and tRNA during decoding are means to obtain an optimal decoder. Our analysis puts forward a generic mechanism that may be utilized broadly by molecular recognition systems.
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Natural ribosomal proteins combined with synthetically made rRNA self-assembled in vitro to create semi-synthetic, functional ribosomes in E. coli cells.
“Working with E. coli cells, natural ribosomal proteins were combined with synthetically made rRNA, which self-assembled in vitro to create semi-synthetic, functional ribosomes [96,97,98].”
From The Origin of Prebiotic Information System in the Peptide/RNA World: A Simulation Model of the Evolution of Translation and the Genetic Code (2019) · cites this paper as [98]
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Chatterjee, S., & Yadav, S. (2019) · Life · doi:10.3390/life9010025 · Cited by 80
Metadata
- Authors
- Savir, Y., & Tlusty, T.
- Affiliations
- Harvard University (US)
- Institute for Advanced Study (US)
- Corresponding author
- Tlusty, Tsvi
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 153
- Issue
- 2
- Pages
- 471-479
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2018622616
- Cited by
- 57
- References
- 2
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 5 · 2020: 5 · 2019: 9 · 2018: 4 · 2017: 5 · 2016: 7 · 2015: 4 · 2014: 3 · 2013: 1
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- 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
- ribosome, tRNA decoding, codon-anticodon pairing, energy landscape, molecular recognition, conformational change, prokaryotic ribosomes, protein synthesis
- MeSH terms
- Energy Metabolism, Prokaryotic Cells, Ribosomes, RNA, Transfer, Thermodynamics, Protein Biosynthesis
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