The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design
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.
Authors
- Ina Koch (ORCID: https://orcid.org/0000-0002-3621-003X)
- Janosch Hennig (ORCID: https://orcid.org/0000-0001-5214-7002)
- Birte Höcker (ORCID: https://orcid.org/0000-0002-8250-9462)
Institutions
- Goethe University Frankfurt (DE)
- European Molecular Biology Laboratory (DE)
- University of Bayreuth (DE)
Publication Details
- Journal
- Biological Chemistry
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1515/hsz-2025-0184
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00