Discngine Labs Live - Setting New Standards in SBDD: Experimental and Predicted Protein Structure Synergies
About the event
Recent advancements in AI/ML-driven technologies for protein structure prediction offer transformative potential to accelerate drug discovery. With the rapid increase in the number and complexity of 3D protein structures, it is essential to efficiently integrate predicted and experimental datasets to enable their synergistic use and harness new structural knowledge for drug discovery.
At this dynamic gathering, leading industry experts will share knowledge and experience on the potential and pitfalls of using AI structural models and how they complement experimental data to drive more efficient SBDD projects.
By participating in this event, you will:
Discover strategies to efficiently gain actionable insights by integrating experimental and computationally predicted 3D protein or protein complex structures
Explore novel technologies that seamlessly combine predicted structural models with experimental data to optimize SBDD workflows
Examine the impact of predicted AI models on compound design and optimization, including their accuracy, current limitations, and future potential
Network with peers and meet the speakers from industry and academia in a casual setting over refreshments