This is a 3-day workshop bringing together researchers at Imperial College and CNRS working in the field of experimental and computational approaches to protein functional characterisation and design. There will be a specific focus on generative AI models and techniques for lab-controlled engineering for immune proteins and enzymes, which are key to developing new methods to tackle global health challenges such as antibiotic resistance and infection control.
21 May:
14.00 – 14.10 – Introduction
14.10 – 15.00 – Talk: Alessandra Carbone (Laboratoire de Biologie Computationelle et Quantitative, Paris) – “Unsupervised decoding of protein signals: unlocking specialized functions”
15.00 – 15.50 – Talk: Mauricio Barahona (Imperial College London) – Title TBA
15.50 – 16.20 – Coffee Break
16.20 – 17.10 – James W Murray (Imperial College London) – “De novo protein design and expression with deep learning models”
17.10 – 18.00 – Alaksh Choudhury (Commissariat a l’Energie Atomique et aux Energies Alternatives, Paris) – “High throughput navigation of regulatory sequence space”
22 May:
9.20 – 10.10 – Talk: Yannick Rondelez (École Supérieure de Physique et de Chimie Industrielles, Paris) – “Experimental exploration of catalytic protein spaces”
10.10 – 11.00 – Talk: Karen Polizzi (Imperial College London) – “Cell-free protein synthesis for high throughput screening”
11.00 – 11.30 – Coffee Break
11.30 – 12.20 – Talk: Pau Creixell (CRUK Cambridge) – “Measuring and understanding global multi-directional epistasis to identify molecular determinants of non-linear protein interactions”
12.20 – Lunch
13.50 – 14.40 – Talk: Martin Weigt (Laboratoire de Biologie Computationelle et Quantitative, Paris) – “Modeling protein evolution in epistatic sequence landscapes”
14.40 – 15.30 – Talk: Laurent Jacob (Laboratoire de Biologie Computationelle et Quantitative, Paris) – “Neural networks for likelihood-free inference in evolutionary genomics”
15.30 – 16.00 – Coffee Break
16.00 – 16.50 – Talk: Sophia Yaliraki (Imperial College London) – Title TBA
16.50 – 17.40 – Talk: Simona Cocco (École Normale Supérieure, Paris) – “Generative models learned on sequence data to forecast SARSCov2 viral evolution and antibody resilience”
23 May:
9.20 – 10.10 – Talk: Jorge Fernandez-de-Cossio-Diaz (Institut de Physique Théorique, Paris) – “Designing Molecular RNA Switches with Restricted Boltzmann Machines”
10.10 – 11.00 – Talk: Francesco Aprile (Imperial College London) – “Integrative nanobody discovery to investigate protein aggregation”
11.00 – 11.30 – Coffee Break
11.30 – 12.20 – Talk: Barbara Bravi (Imperial College London) – “Machine learning-based models of antibody binding affinity and specificity”
12.20 – Conclusion, lunch and departure