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Mendeley readers
Chapter title |
Computational Design of Protein Linkers.
|
---|---|
Chapter number | 20 |
Book title |
Computational Design of Ligand Binding Proteins
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Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3569-7_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3567-3, 978-1-4939-3569-7
|
Authors |
Brian Kuhlman, Tim Jacobs, Tom Linskey |
Editors |
Barry L. Stoddard |
Abstract |
Naturally occurring proteins often consist of multiple distinct domains joined by linker regions. Similarly, the ability to combine globular protein domains through engineered linkers would allow the creation of a wide variety of complex and useful multifunctional proteins. Recent advances in computational design of protein structures have enabled highly accurate design of novel protein structures. In this chapter we outline a computational protocol for the de novo design of protein linkers, and apply this protocol to the design of a helical linker between two rigid protein domains. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 42% |
Researcher | 2 | 17% |
Student > Master | 2 | 17% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 33% |
Chemistry | 2 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Neuroscience | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |