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How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?

Title data

Höcker, Birte ; Lu, Peilong ; Glasgow, Anum ; Marks, Debora S. ; Chatterjee, Pranam ; Slusky, Joanna S. G. ; Schueler-Furman, Ora ; Huang, Possu:
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?
In: Cell Systems. Vol. 14 (2023) Issue 8 . - pp. 629-632.
ISSN 2405-4720
DOI: https://doi.org/10.1016/j.cels.2023.07.005

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry I - Proteinbiochemie der Signaltransduktion
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry III - Protein Design > Chair Biochemistry III - Protein Design - Univ.-Prof. Dr. Birte Höcker
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry III - Protein Design
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Result of work at the UBT: No
DDC Subjects: 500 Science > 540 Chemistry
Date Deposited: 14 Nov 2023 08:32
Last Modified: 05 Nov 2025 10:27
URI: https://eref.uni-bayreuth.de/id/eprint/87729