The workshop took place June 5, 2024, Amphitheater Charles Flahault, Jardin des Plantes, in Montpellier, France – 172 participants were registered

Over the past few years, there has been a notable convergence of AI methods in the fields of chemistry and biology. Techniques as varied as active learning, reinforcement learning, informed machine learning, physics-informed neural networks, reservoir computing, generative models, and large language models have gained prominence in both domains.

The primary objective of the workshop was to facilitate knowledge exchange among communities that typically operate independently fostering a collaborative environment to explore shared experiences, differences, and challenges through the lens of AI techniques.

To learn about the latest developments in both chemistry and biology check the video and booklet below.

Video:

Booklet: AI Workshop 2024 Booklet

Program:

08:30-09:00 – Welcoming with breakfast

09:00-10:50 – AI Methods and Models in Chemistry and (Bio)Catalysis

– 09:00-09:40 – Invited keynote – Esther Heid (MIT, USA and TU Vienna, AT) Machine Learning and Data Curation for Bioretrosynthesis

– 09:40-09:55 – Short talk – Delphine Dessaux (TBI, FR) Design of Symmetrical Multi-Component Proteins using Artificial Intelligence

– 09:55-10:35 – Invited keynote – Wilhelm Huck (Radboud U., NL) Information Processing in Chemical Reaction Networks

– 10:35-10:50 – Short talk – Mehdi D. Davari (IPB, DE) Empowering Data-Driven Protein Engineering with Machine Learning

10:50-11:10 – Coffee break and poster session

11:10-13:00 – AI Methods and Models in (Bio)Catalysis and Synthetic Biology

– 11:10-11:50 – Invited keynote – Ljubisa Miskovic (EPFL, CH) Towards High-Throughput Dynamic Studies of Metabolism: Generative Machine Learning Approaches

– 11:50-12:05 – Short talk – Amir Pandi (INSERM, FR) A Multispecies Codon Optimizer Using Transformers

– 12:05-12:20 – Short talk – Soutrick Das (UCL, UK) Designing Neural Network Computation across Engineered Bacterial Communities

– 12:20-13:00 – Invited keynote – Diego Oyarzún (U. Edinburgh, UK) Machine Learning Approaches to Cell Factory Design and Optimization

13:00-13:45 – Lunch and poster session

 

The workshop was financially supported by the PEPR B-BEST, part of the France 2030 initiative. The workshop was also supported by the CNRS International Research Network in Synthetic Biology (IRN SYNSYSBIO).