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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Transfer RNA Synthesis02:36

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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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Published on: February 18, 2022

Benchmarking multi-rate codon models.

Wayne Delport1, Konrad Scheffler, Mike B Gravenor

  • 1Department of Pathology, University of California San Diego, San Diego, California, United States of America. wdelport@ucsd.edu

Plos One
|July 27, 2010
PubMed
Summary
This summary is machine-generated.

The standard codon model for non-synonymous substitution is biologically unrealistic. A more complex model with multiple substitution rates significantly outperforms the single rate model, improving phylogenetic analysis.

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Area of Science:

  • Phylogenetics
  • Molecular Evolution
  • Computational Biology

Background:

  • The single rate codon model is widely used in phylogenetic modeling to interpret selection pressure.
  • This model assumes a uniform rate for non-synonymous substitutions, which contradicts empirical amino acid substitution data.

Purpose of the Study:

  • To challenge the biological reasonableness of the single rate codon model.
  • To demonstrate the superiority of models with multiple non-synonymous substitution rate classes.
  • To propose criteria for validating new codon models beyond simple model fit improvements.

Main Methods:

  • Comparison of the single rate codon model with a multi-rate class model where amino acid pairs were randomly assigned.
  • Evaluation of model performance based on fit and approximation to the general time-reversible model.
  • Hinting at a Genetic Algorithm approach for assigning rate classes based on sequence information content.

Main Results:

  • The single rate model is easily outperformed by a model with multiple non-synonymous rate classes.
  • Even random assignment of amino acid pairs to rate classes yielded superior performance.
  • The study highlights the limitations of validating new models solely against the single rate model.

Conclusions:

  • The assumption of a single rate for non-synonymous substitution is biologically untenable.
  • New codon models should aim for improved fit and closer approximation to the general time-reversible model with minimal parameters to avoid over-fitting.
  • Future codon model development could leverage sequence information content for assigning rate classes.