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Updated: Sep 20, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Putting engineering back into protein engineering: bioinformatic approaches to catalyst design
Claes Gustafsson1, Sridhar Govindarajan, Jeremy Minshull
1DNA 2.0, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA. cgustafsson@dnatwopointo.com
Abstract:
Complex multivariate engineering problems are commonplace and not unique to protein engineering. Mathematical and data-mining tools developed in other fields of engineering have now been applied to analyze sequence-activity relationships of peptides and proteins and to assist in the design of proteins and peptides with specified properties. Decreasing costs of DNA sequencing in conjunction with methods to quickly synthesize statistically representative sets of proteins allow modern heuristic statistics to be applied to protein engineering. This provides an alternative approach to expensive assays or unreliable high-throughput surrogate screens.
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