Nucleic Acids Research, Vol 26, Issue 3 697-702, Copyright © 1998 by Oxford University Press
LJ Jensen, KV Andersen, A Svendsen and T Kretzschmar
Protein engineering by inserting stretches of random DNA sequences into
target genes in combination with adequate screening or selection methods is
a versatile technique to elucidate and improve protein functions.
Established compounds for generating semi-random DNA sequences are spiked
oligonucleotides which are synthesised by interspersing wild type (wt)
nucleotides of the target sequence with certain amounts of other
nucleotides. Directed spiking strategies reduce the complexity of a library
to a manageable format compared with completely random libraries.
Computational algorithms render feasible the calculation of appropriate
nucleotide mixtures to encode specified amino acid subpopulations. The
crucial element in the ranking of spiked codons generated during an
iterative algorithm is the scoring function. In this report three scoring
functions are analysed: the sum-of-square- differences function s, a
modified cubic function c, and a scoring function m derived from maximum
likelihood considerations. The impact of these scoring functions on
calculated amino acid distributions is demonstrated by an example of
mutagenising a domain surrounding the active site serine of subtilisin-like
proteases. At default weight settings of one for each amino acid, the new
scoring function m is superior to functions s and c in finding matches to a
given amino acid population.
ARTICLES
Scoring functions for computational algorithms applicable to the design of spiked oligonucleotides
Department of Enzyme Design, Novo Nordisk A/S, DK-2880 Bagsvaerd, Denmark.
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