Innovation by homologous recombination
| Autor: | Devin L. Trudeau, Matthew A. Smith, Frances H. Arnold |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Models
Molecular Recombination Genetic Genetics Protein Stability Molecular Sequence Data fungi Computational biology Biology Protein Engineering Biochemistry Fusion protein Recombinant Proteins Analytical Chemistry Support vector machine Chimera (genetics) Artificial Intelligence Mechanical stability Animals Humans Amino Acid Sequence Homologous recombination Peptide sequence Recombination Thermostability |
| Zdroj: | Current Opinion in Chemical Biology. 17:902-909 |
| ISSN: | 1367-5931 |
| Popis: | Swapping fragments among protein homologs can produce chimeric proteins with a wide range of properties, including properties not exhibited by the parents. Computational methods that use information from structures and sequence alignments have been used to design highly functional chimeras and chimera libraries. Recombination has generated proteins with diverse thermostability and mechanical stability, enzyme substrate specificity, and optogenetic properties. Linear regression, Gaussian processes, and support vector machine learning have been used to model sequence-function relationships and predict useful chimeras. These approaches enable engineering of protein chimeras with desired functions, as well as elucidation of the structural basis for these functions. |
| Databáze: | OpenAIRE |
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