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Updated: Jun 3, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Selective constraints on amino acids estimated by a mechanistic codon substitution model with multiple nucleotide
1Graduate School of Engineering, Gunma University, Kiryu, Gunma, Japan. miyazawa@smlab.sci.gunma-u.ac.jp
A new codon-based model tailors substitution tendencies and selective constraints to individual genes, improving molecular phylogenetic tree inferences. This approach offers biologically meaningful insights at both nucleotide and amino acid levels.
Area of Science:
- Molecular evolution
- Bioinformatics
- Phylogenetics
Background:
- Traditional substitution matrices average tendencies, losing gene-specific resolution.
- Developing gene-tailored models is crucial for accurate phylogenetic analysis.
Purpose of the Study:
- To create a codon-based model for estimating gene-specific selective constraints.
- To improve the accuracy of molecular phylogenetic tree inferences.
Main Methods:
- Estimated selective constraints from empirical amino acid and codon substitution matrices.
- Approximated gene-specific constraints as a linear function of averaged constraints.
- Utilized Akaike information criterion (AIC) for model comparison.
Main Results:
- A model allowing multiple nucleotide changes significantly improved fit to empirical matrices.
- Selective constraints were found to be protein-specific rather than species-specific.
- The model accurately fit various empirical substitution matrices, including those for chloroplast and mitochondrial proteins.
Conclusions:
- The codon-based model with adjustable mutation rates is valuable for molecular and Bayesian phylogenetic inferences.
- Enables extraction of biologically relevant information from both nucleotide and amino acid sequences.
- Provides a simplified yet powerful tool for evolutionary studies.
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