Gräwe, Alexander ; Stein, Viktor (2020)
Linker engineering in the context of synthetic protein switches and sensors.
In: Trends in biotechnology
doi: 10.1016/j.tibtech.2020.11.007
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Linkers play critical roles in the construction of synthetic protein switches and sensors as they functionally couple a receptor with an actuator. With an increasing number of molecular toolboxes and experimental strategies becoming available that can be applied to engineer protein switches and sensors with tailored response functions, optimising the connecting linkers remains an idiosyncratic and empiric process. This review aims to provide an in-depth analysis of linker motifs, the biophysical properties they confer, and how they impact the performance of synthetic protein switches and sensors while identifying trends, mechanisms, and strategies that underlie the most potent switches and sensors.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2020 |
Autor(en): | Gräwe, Alexander ; Stein, Viktor |
Art des Eintrags: | Bibliographie |
Titel: | Linker engineering in the context of synthetic protein switches and sensors. |
Sprache: | Englisch |
Publikationsjahr: | 5 Dezember 2020 |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Trends in biotechnology |
DOI: | 10.1016/j.tibtech.2020.11.007 |
Kurzbeschreibung (Abstract): | Linkers play critical roles in the construction of synthetic protein switches and sensors as they functionally couple a receptor with an actuator. With an increasing number of molecular toolboxes and experimental strategies becoming available that can be applied to engineer protein switches and sensors with tailored response functions, optimising the connecting linkers remains an idiosyncratic and empiric process. This review aims to provide an in-depth analysis of linker motifs, the biophysical properties they confer, and how they impact the performance of synthetic protein switches and sensors while identifying trends, mechanisms, and strategies that underlie the most potent switches and sensors. |
ID-Nummer: | pmid:33293101 |
Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Protein Engineering of Ion Conducting Nanopores |
Hinterlegungsdatum: | 14 Dez 2020 13:15 |
Letzte Änderung: | 14 Dez 2020 13:15 |
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