Machine Learning-Assisted Engineering of Light, Oxygen, Voltage Photoreceptor Adduct Lifetime-Reference-Cited by-同舟云学术

Machine Learning-Assisted Engineering of Light, Oxygen, Voltage Photoreceptor Adduct Lifetime

Published:2023-11-21 Issue:12 Volume:3 Page:3311-3323
ISSN:2691-3704
Container-title:JACS Au
language:en
Short-container-title:JACS Au

Author:

Hemmer Stefanie¹,Siedhoff Niklas Erik²³,Werner Sophia¹,Ölçücü Gizem¹^ORCID,Schwaneberg Ulrich²³^ORCID,Jaeger Karl-Erich¹⁴^ORCID,Davari Mehdi D.⁵^ORCID,Krauss Ulrich¹⁴⁶^ORCID

Affiliation:

1. Institute of Molecular Enzyme Technology, Heinrich Heine University Düsseldorf, Wilhelm Johnen Strasse, Jülich 52426, Germany

2. Institute of Biotechnology, RWTH Aachen University, Worringer Weg 3, 52074 Aachen, Germany

3. DWI-Leibniz Institute for Interactive Materials, Forckenbeckstraße 50, 52074 Aachen, Germany

4. Institute of Bio-and Geosciences IBG 1: Biotechnology, Forschungszentrum Jülich GmbH, Wilhelm Johnen Strasse, Jülich 52426, Germany

5. Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06120 Halle, Germany

6. Department of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany

Funder

Deutsche Forschungsgemeinschaft

Forschungszentrum J?lich

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Physical and Theoretical Chemistry,Chemistry (miscellaneous),Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/jacsau.3c00440

Reference79 articles.

1. Photoreceptor Proteins, “Star Actors of Modern Times”: A Review of the Functional Dynamics in the Structure of Representative Members of Six Different Photoreceptor Families

2. Photoreceptors Take Charge: Emerging Principles for Light Sensing

3. Diverse photoreceptors and light responses in plants

4. Toward Multiplexed Optogenetic Circuits

5. Blue-Light Receptors for Optogenetics

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