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Automated design of degenerate codon libraries
Author(s) -
Marco Mena,
Patrick S. Daugherty
Publication year - 2005
Publication title -
protein engineering design and selection
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.627
H-Index - 109
eISSN - 1741-0134
pISSN - 1741-0126
DOI - 10.1093/protein/gzi061
Subject(s) - heuristics , degeneracy (biology) , computer science , degenerate energy levels , set (abstract data type) , codon usage bias , sequence space , protein engineering , computational biology , protein design , function (biology) , sequence (biology) , limit (mathematics) , algorithm , data mining , protein structure , information retrieval , gene , bioinformatics , biology , genetics , mathematics , programming language , genome , discrete mathematics , physics , mathematical analysis , biochemistry , enzyme , quantum mechanics , banach space , operating system
Degenerate codon libraries are frequently used in protein engineering and evolution studies but are often limited to targeting a small number of positions to adequately limit the search space. To mitigate this, codon degeneracy can be limited using heuristics or previous knowledge of the targeted positions. To automate design of libraries given a set of amino acid sequences, an algorithm (LibDesign) was developed that generates a set of possible degenerate codon libraries, their resulting size, and their score relative to a user-defined scoring function. A gene library of a specified size can then be constructed that is representative of the given amino acid distribution or that includes specific sequences or combinations thereof. LibDesign provides a new tool for automated design of high-quality protein libraries that more effectively harness existing sequence-structure information derived from multiple sequence alignment or computational protein design data.

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