Chapter title |
Design of Light-Controlled Protein Conformations and Functions.
|
---|---|
Chapter number | 12 |
Book title |
Computational Design of Ligand Binding Proteins
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3569-7_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3567-3, 978-1-4939-3569-7
|
Authors |
Ryan S. Ritterson, Daniel Hoersch, Kyle A. Barlow, Tanja Kortemme |
Editors |
Barry L. Stoddard |
Abstract |
In recent years, interest in controlling protein function with light has increased. Light offers a number of unique advantages over other methods, including spatial and temporal control and high selectivity. Here, we describe a general protocol for engineering a protein to be controllable with light via reaction with an exogenously introduced photoisomerizable small molecule and illustrate our protocol with two examples from the literature: the engineering of the calcium affinity of the cell-cell adhesion protein cadherin, which is an example of a protein that switches from a native to a disrupted state (Ritterson et al. J Am Chem Soc (2013) 135:12516-12519), and the engineering of the opening and closing of the chaperonin Mm-cpn, an example of a switch between two functional states (Hoersch et al.: Nat Nanotechn (2013) 8:928-932). This protocol guides the user from considering which proteins may be most amenable to this type of engineering, to considerations of how and where to make the desired changes, to the assays required to test for functionality. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 36% |
Researcher | 3 | 21% |
Student > Master | 2 | 14% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 36% |
Agricultural and Biological Sciences | 2 | 14% |
Neuroscience | 2 | 14% |
Chemistry | 2 | 14% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 14% |