Exploration of sequence space for protein engineering

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Abstract
The process of protein engineering is currently evolving towards a heuristic understanding of the sequence–function relationship. Improved DNA sequencing capacity, efficient protein function characterization and improved quality of data points in conjunction with well‐established statistical tools from other industries are changing the protein engineering field. Algorithms capturing the heuristic sequence–function relationships will have a drastic impact on the field of protein engineering. In this review, several alternative approaches to quantitatively assess sequence space are discussed and the relatively few examples of wet‐lab validation of statistical sequence–function characterization/correlation are described. Copyright © 2001 John Wiley & Sons, Ltd.