Capitalizing on Advances in Sensitivity Across Orthogonal Biophysical Techniques & AI Integration to Strengthen Translational Confidence of Novel Candidates
AI is transforming every corner of drug discovery, and biophysics is no exception. From predicting molecular interactions to streamlining data analysis with machine learning, AI is enabling faster, more informed early-stage decisions. Meanwhile, experimental biophysics continues to evolve, with high-resolution and high-throughput platforms expanding the boundaries of what can be measured. Techniques like focal molography, alongside innovations in membrane mimetics and nanodiscs, are providing unprecedented insight into complex targets, including previously intractable membrane proteins.
As targets grow more complex and modalities more diverse, the demand for accurate biophysical understanding has never been more essential. From prioritizing hits and defining on-target engagement to optimizing leads and informing CMC and formulation, biophysics underpins confident, data-driven decisions across the discovery pipeline.
The 3rd Biophysics for Drug Discovery Summit offers a rare, highly technical, industry-focused forum dedicated solely to biophysics. Unlike broader drug discovery meetings, this summit provides a comprehensive view of techniques, emerging technologies, and practical applications. Through case studies, panel discussions, and interactive dialogue, attendees will explore how next-generation biophysics drives predictive pipelines and accelerates discovery.
Attending Companies Include