Protein Engineering
Springer New York
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Timeline
Mendeley readers
| Chapter title |
Colorimetric High-Throughput Screening Assays for the Directed Evolution of Fungal Laccases
|
|---|---|
| Chapter number | 14 |
| Book title |
Protein Engineering
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7366-8_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7364-4, 978-1-4939-7366-8
|
| Authors |
Isabel Pardo, Susana Camarero, Pardo, Isabel, Camarero, Susana |
| Abstract |
In this chapter we describe several high-throughput screening assays for the evaluation of mutant libraries for the directed evolution of fungal laccases in the yeast Saccharomyces cerevisiae. The assays are based on the direct oxidation of three syringyl-type phenols derived from lignin (sinapic acid, acetosyringone, and syringaldehyde), an artificial laccase mediator (violuric acid), and three organic synthetic dyes (Methyl Orange, Evans Blue, and Remazol Brilliant Blue). While the assays with the natural phenols can be used for laccases with low redox potential, the rest are exclusive for high-redox potential laccases. In fact, the violuric acid assay is devised as a method to ascertain that the high-redox potential of laccase is not lost during directed evolution. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Student > Bachelor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Agricultural and Biological Sciences | 4 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Environmental Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |