Protein Engineering
Springer New York
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Timeline
Mendeley readers
| Chapter title |
Normalized Screening of Protein Engineering Libraries by Split-GFP Crude Cell Extract Quantification
|
|---|---|
| Chapter number | 9 |
| Book title |
Protein Engineering
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7366-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7364-4, 978-1-4939-7366-8
|
| Authors |
Javier Santos-Aberturas, Mark Dörr, Uwe T. Bornscheuer, Santos-Aberturas, Javier, Dörr, Mark, Bornscheuer, Uwe T. |
| Abstract |
The different expression level and solubility showed by each protein variant represents an important challenge during screening campaigns: Usually, the total activity measurement constitutes the only criterion for identifying improved variants. This hampers the chances of finding interesting mutants, especially if the aim is to improve activity: On the one hand, interesting but poorly soluble variants will remain undetectable. On the other hand, a mutation might not increase activity, but improve expression level or solubility. The split-GFP technology offers an affordable and technically simple manner for overcoming that constraints, making protein library screening more efficient through the normalization of the detected enzymatic activities in relation to the quantified protein contents responsible for them. |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 33% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 3 | 7% |
| Other | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 43% |
| Agricultural and Biological Sciences | 6 | 14% |
| Engineering | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 12 | 29% |