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Dissecting the Determinants of Domain Insertion Tolerance and Allostery in Proteins

Mathony, Jan ; Aschenbrenner, Sabine ; Becker, Philipp ; Niopek, Dominik (2024)
Dissecting the Determinants of Domain Insertion Tolerance and Allostery in Proteins.
In: Advanced Science, 2023, 10 (28)
doi: 10.26083/tuprints-00027224
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

Domain insertion engineering is a promising approach to recombine the functions of evolutionarily unrelated proteins. Insertion of light‐switchable receptor domains into a selected effector protein, for instance, can yield allosteric effectors with light‐dependent activity. However, the parameters that determine domain insertion tolerance and allostery are poorly understood. Here, an unbiased screen is used to systematically assess the domain insertion permissibility of several evolutionary unrelated proteins. Training machine learning models on the resulting data allow to dissect features informative for domain insertion tolerance and revealed sequence conservation statistics as the strongest indicators of suitable insertion sites. Finally, extending the experimental pipeline toward the identification of switchable hybrids results in opto‐chemogenetic derivatives of the transcription factor AraC that function as single‐protein Boolean logic gates. The study reveals determinants of domain insertion tolerance and yielded multimodally switchable proteins with unique functional properties.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Mathony, Jan ; Aschenbrenner, Sabine ; Becker, Philipp ; Niopek, Dominik
Art des Eintrags: Zweitveröffentlichung
Titel: Dissecting the Determinants of Domain Insertion Tolerance and Allostery in Proteins
Sprache: Englisch
Publikationsjahr: 27 Mai 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 6 Oktober 2023
Ort der Erstveröffentlichung: Weinheim
Verlag: Wiley-VCH
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Advanced Science
Jahrgang/Volume einer Zeitschrift: 10
(Heft-)Nummer: 28
Kollation: 13 Seiten
DOI: 10.26083/tuprints-00027224
URL / URN: https://tuprints.ulb.tu-darmstadt.de/27224
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

Domain insertion engineering is a promising approach to recombine the functions of evolutionarily unrelated proteins. Insertion of light‐switchable receptor domains into a selected effector protein, for instance, can yield allosteric effectors with light‐dependent activity. However, the parameters that determine domain insertion tolerance and allostery are poorly understood. Here, an unbiased screen is used to systematically assess the domain insertion permissibility of several evolutionary unrelated proteins. Training machine learning models on the resulting data allow to dissect features informative for domain insertion tolerance and revealed sequence conservation statistics as the strongest indicators of suitable insertion sites. Finally, extending the experimental pipeline toward the identification of switchable hybrids results in opto‐chemogenetic derivatives of the transcription factor AraC that function as single‐protein Boolean logic gates. The study reveals determinants of domain insertion tolerance and yielded multimodally switchable proteins with unique functional properties.

Freie Schlagworte: allostery, domain insertion, optogenetics, protein engineering
ID-Nummer: Artikel-ID: 2303496
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-272242
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit
Fachbereich(e)/-gebiet(e): Interdisziplinäre Forschungsprojekte
Interdisziplinäre Forschungsprojekte > Centre for Synthetic Biology
Hinterlegungsdatum: 27 Mai 2024 13:10
Letzte Änderung: 03 Jun 2024 11:58
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