The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design

Title data

Höcker, Birte ; Koch, Ina ; Hennig, Janosch:
The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design.
In: Biological Chemistry. (30 September 2025) .
ISSN 1437-4315
DOI: https://doi.org/10.1515/hsz-2025-0184

Official URL:

Abstract in another language

The 76th Mosbacher Kolloquium focused on recent advances in machine learning applications for structural biology and protein design. It covered topics spanning artificial intelligence-driven protein structure prediction, integrative modeling, generative protein design, and general applications in life sciences. With strong participation, high-caliber talks, and a clear focus on the integration of AI in biomolecular research, the meeting underscored the transformative role of machine learning in molecular biosciences and provided a vibrant platform for knowledge exchange across disciplines and generations.

Further data

Item Type:	Article in a journal
Refereed:	No
Keywords:	protein design; protein engineering; structural biology; machine learning; bioinformatics; artificial intelligence
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 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 IV - Biophysical Chemistry Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry IV - Biophysical Chemistry > Chair Biochemistry IV - Biophysical Chemistry - Univ.-Prof. Dr. Janosch Hennig 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 Research Institutions Research Institutions > Central research institutes
Result of work at the UBT:	No
DDC Subjects:	500 Science > 540 Chemistry
Date Deposited:	02 Oct 2025 05:57
Last Modified:	05 Nov 2025 09:10
URI:	https://eref.uni-bayreuth.de/id/eprint/94821