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Calculating the predicted replacement mutability of a sequence

I will use an empirical mutability model, that was inferred from a database of 520 unselected mutations found in 28511 nucleotides sequenced from JH-CH and $J_\kappa-C_\kappa$ introns (1996). Cowell et al. (1998) showed that these data are efficiently described by a mechanism that operates on triplets of nucleotides, the probability that a nucleotide mutates being conditioned on the two flanking nucleotides. Cowell and Kepler (in preparation) inferred from these data the probability of any nucleotide mutating given its identity and the identity of the two nucleotides that flank it in the sequence. For each position in the gene sequence, one can retrieve, from this empirical mutability model, the predicted mutability under somatic hypermutation. In general I will be interested in the replacement mutability, defined as the probability that a nucleotide undergoes a substitution that leads to an amino acid replacement. Silent substitutions may only contribute to CDR or FR functional diversity through second order effects, such as subsequently affecting the mutability of the neighboring nucleotides. Although the mutability of a nucleotide is essentially a probability, I will still use the term mutability for historical reasons (see Kepler (1997)).

The procedure that I designed for calculating an average replacement mutability per nucleotide in a sequence is the following:

To compare FR and CDR mutabilities, I separately determine the mutability of FR and CDR sites. I will use the same procedure to determine the predicted mutability of artificially-constructed sequences.


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Next: All human immunoglobulin V-region Up: Somatic hypermutation targets the Previous: Somatic hypermutation targets the
Mihaela Oprea
1999-04-11