TU Darmstadt / ULB / TUbiblio

Linker engineering in the context of synthetic protein switches and sensors.

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
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen