CBI

Introduction

The codon bias index reflects the composition of a gene with high expression of superior codons. For the gene of the target host itself, the index has a good correlation with the ENC value, and it can more clearly reflect the possible expression of foreign genes in the target host, so it has been widely used.

How to calculate?

\[\mathrm{CBI}=\frac{N_{\mathrm{pfr}}-N_{\text {ran }}} {N_{\text {tot }}-N_{\text {ran }}}\]

Where Npf r is the total number of occurrences of preferred codons, Nra n is the expected number of the preferred codons if all synonymous codons were used equally, and Ntot is the total number of the 17 amino acids encoded by the preferred codons. A strongly expressed gene has a higher value of CBI and a more biased codon usage than a weakly expressed gene.

Meaning of value

It measures the extent to which a gene uses a subset of optimal codons.

When CBI is equal to 1.0, it indicates a gene with extreme codon preference. On the contrary, when CBI is equal to 0.0, it means that the gene has random codon usage.

Codon Selection in Yeast