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Updated: May 9, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

A realistic model under which the genetic code is optimal.

Harry Buhrman¹, Peter T S van der Gulik, Gunnar W Klau

¹Centrum Wiskunde & Informatica (CWI), P.O. Box 94079, 1090 GB, Amsterdam, The Netherlands.

Journal of Molecular Evolution

|July 24, 2013

Summary

This summary is machine-generated.

The standard genetic code is optimal for error robustness, according to new calculations. This finding, based on amino acid properties and biosynthetic relationships, suggests the genetic code evolved for stability.

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Area of Science:

Biochemistry
Genetics
Evolutionary Biology

Background:

The genetic code exhibits significant error robustness, crucial for biological function.
Quantifying this robustness involves analyzing amino acid properties and codon assignments.

Purpose of the Study:

To quantify the error robustness of the standard genetic code.
To determine if the standard genetic code is optimal in terms of error robustness.

Main Methods:

Utilized hydrophobicity scales and polar requirement values for amino acid characterization.
Employed a mean square measure to quantify error robustness.
Compared the standard code's robustness against random permutations, with constrained assignments based on aptamer considerations and biosynthetic relationships.

Main Results:

The standard genetic code was found to be optimal in error robustness.
Updated polar requirement values and biosynthetic relations were key inputs.
A subdivision approach, grouping amino acids into subgroups, refined the analysis.

Conclusions:

The study provides strong evidence for the optimality of the standard genetic code's error robustness.
Biosynthetic relationships play a critical role in the evolution of the genetic code.
Re-examined theories on code robustness, favoring a hypothesis emphasizing biosynthetic pathways and gradual evolution from simpler forms.