Sanofi at PEGS Europe 2026

Nov 16–19, 2026 Lisbon, Portugal ~1.5k attendees Website

Sanofi brings 5 presentations to PEGS Europe 2026 in Lisbon. Its program pairs machine learning with Nanobody and VHH engineering, from de novo VHH design to predicting the colloidal stability of multivalent molecules. Other work covers cryo-EM structural biology and albumin-masked T cell engagers for immuno-oncology.

Organization	PEGS Europe 2026 Attendance
Sanofi Paris, France
sanofi.com Large pharma French pharmaceutical company developing antibodies, Nanobody molecules, multispecifics and other biologics across immunology, oncology and rare diseases.	Talk Wed Nov 18 9:30am–10:00am Structural Biology at the Forefront of Biotherapeutics: Cryo-EM, AI, and Complex Modalities Analytical Characterisation of Biotherapeutics Talk Thu Nov 19 9:00am–9:30am Colloidal Stability Prediction of Multivalent NANOBODY Molecules Using Machine Learning Protein Stability & Formulation Chair Thu Nov 19 10:44am–10:45am Chairperson's Remarks Machine Learning for Protein Engineering Part 2 Talk Thu Nov 19 11:05am–11:25am De novo VHH Design in Practice: Bridging AI Innovation with Real-World Biologics Design Machine Learning for Protein Engineering Part 2 Talk Thu Nov 19 5:15pm–5:45pm Precision-Activated T Cell Engagers in Immuno-Oncology: Pharmacological Characterisation of Albumin-Masked TCR Multispecific VHHs Engineering the Next Generation of Bispecific Antibodies

Organization

PEGS Europe 2026 Attendance

Sanofi

Paris, France

sanofi.com

Large pharma

French pharmaceutical company developing antibodies, Nanobody molecules, multispecifics and other biologics across immunology, oncology and rare diseases.

Talk

Wed Nov 18
9:30am–10:00am

Structural Biology at the Forefront of Biotherapeutics: Cryo-EM, AI, and Complex Modalities

Analytical Characterisation of Biotherapeutics

Talk

Thu Nov 19
9:00am–9:30am

Colloidal Stability Prediction of Multivalent NANOBODY Molecules Using Machine Learning

Protein Stability & Formulation

Chair

Thu Nov 19
10:44am–10:45am

Chairperson's Remarks

Machine Learning for Protein Engineering Part 2