AI in Chemistry and Biology:
Evolution or Revolution?

Beilstein Bozen Symposium
2024

June 4–6, 2024

Hotel Jagdschloss Niederwald
Rüdesheim, Germany

 

Scientific Committee:

Tim Clark / Friedrich-Alexander-University Erlangen-Nürnberg

Antonella Di Pizio / Leibniz Institute for Food Systems Biology and Technical University Munich

Oliver Koch / University of Münster

Carsten Kettner / Beilstein-Institut

 

Stay tuned #BeilsteinBozen2024


 

Join the Livestream!

This Beilstein Bozen Symposium will be live streamed via the GoToWebinar platform. Register and join the symposium virtually and completely free of charge.

 

Topics

This symposium will treat the impact of Artificial intelligence (AI) and Machine Learning (ML) on chemistry and biology, including drug design. The underlying theme of the discussions will be what we can now do with AI and ML that we couldn’t do before. For instance, is AI simply a new interpolation method in the old traditional computer-aided drug design (CADD)? Are the methods applied nowadays unreliable in contrast to the those applied in the early days? How can we combine the development and application of new materials with AI-generated knowledgebases? How much can AI help in the prediction and retro-synthesis of new chemical compounds, and how useful are these compounds? Still, the quality of published data matters as meaningful AI applications depend on the availability of high-quality test datasets.

These and more questions are planned to be addressed:

/chemical sensing
/chemical aided drug design
/protein structure prediction
/AI models from physical models
/synthesis planning
/human brain project
/medical image recognition, and other interdisciplinary topics

In the tradition of the Bozen Symposia participants from widely differing areas of specialization present provoking talks for a general but qualified scientific audience and researchers from the different disciplines come into contact and lead to fruitful “out of the box” discussions.

  

Confirmed Speakers

 

Stefan Arold / King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Karl-Heinz Baringhaus / Sanofi-Aventis GmbH, Frankfurt

Tim Clark / Friedrich Alexander University Erlangen-Nürnberg

Pilar Cossio / Simons Foundation, New York, USA

Giovanni Cuniberti / Technical University Dresden

Antonella Di Pizio / Technical University Munich

Noelia Ferruz / Barcelona Institute of Molecular Biology, Spain

 

 

 

 

Marylou Gabrié / École Polytechnique Paris, France

Birte Höcker / University of Bayreuth

Oliver Koch / University of Münster

Ekaterina Komendantska / University of Southampton, UK

Christian Kramer / Hoffmann-LaRoche, Basel, Switzerland

Johannes Margraf / University of Bayreuth

Tudor Oprea / Expert Systems Inc., San Diego, USA

 

 

 

 

 

Beth A. Plale / Indiana University, Bloomington, USA

Guillermo Restrepo / MPI for Mathematics in the Sciences, Leipzig

Benjamin Risse / University of Münster

Jana Selent / IMIM & Pompeu Fabra University, Barcelona, Spain

Christoph Steinbeck / Friedrich-Schiller-University, Jena

Christian Tyrchan / AstraZeneca, Gothenburg, Sweden

Andrea Volkamer / University of Saarbrücken

Gerard van Westen / Universiteit Leiden, The Netherlands