DMCCB Basel Symposium 2024 «Therapeutics by Computational Design: Innovations in Drug Discovery and AI»

This one-day symposium organised by the Swiss Chemical Society, Division Medicinal Chemistry and Chemical Biology, was dedicated to «Therapeutics by Computational Design: Innovations in Drug Discovery and AI»

As we leave behind the year 2023, heralded as the year of generative AI with groundbreaking technologies like ChatGPT and Stable Diffusion, our focus was on the road ahead. We are looking forward to the emerging trends in drug discovery in 2024, driven by state-of-the-art computational methods. Discover how AI is shaping the future of Therapeutics by Computational Design, reshaping the healthcare landscape through the fusion of scientific expertise and technological innovation. Elevating this journey was the DMCCB Basel Symposium in 2024. This symposium was dedicated to bringing together Chemical Biologists and experts in Medicinal and Computational Chemistry, Molecular Modeling, Artificial Intelligence, and Machine Learning in Drug Discovery and Design. The event spotlighted the latest advancements in these fields and offered a preview of their future potential. With its comprehensive coverage, the symposium promised to engage both students and seasoned professionals straddling the worlds of chemistry and biology. About 120 participants joined us at this exceptional gathering to connect with leading minds from the pharmaceutical, biotech, and academic sectors in the vibrant city of Basel.

Confirmed Speakers:

Gerard JP Van Westen, Leiden University
«Artificial Intelligence in Early Drug Discovery Towards Virtual Drug Discovery and Safety Assessment?»
Nadine Schneider, Novartis
«From computer-aided drug design to computer-accelerated drug discovery»
Jennifer Müller, ETH Zurich
«Development of Novel LAT1 Ligands as Potential Antitumor Agents»

Lukas Schneider, University of Basel
«Recording binding information directly into DNA-encoded libraries using terminal deoxynucleotidyl transferase»
Andrea Volkamer, Universität des Saarlandes
«Open-Source Developments for Data Driven Kinase-Centric Drug Design»
Hongming Chen, Guangzhou Laboratory
«Development of novel generative models for molecule design»
Patrick Barth, EPFL Lausanne
«Computational design of membrane receptor therapeutics»
Chris Baker, Syngenta
«Generative Chemistry for Weed Control: A Collaboration between Syngenta and In Silico Medicine»

Best Poster Presentation Winners:

The Best Poster Prizes were honored with a certificate and 100CHF cash contribution:

- Pinwen Cai, University of Basel
«Selecting DNA encoded small molecules that direct protein ubiquitination»

- David Kreutter, University of Bern
«Chemoenzymatic Multistep Retrosynthesis with Transformer Loops»

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