Fireside Chat: How Can We Balance Innovation & Proven Methods in GPCR Structure-Based Discovery?
- Uncovering elusive allosteric binding sites by applying machine learning and predictive modelling, while addressing the experimental challenges of validating these computationally identified targets
- Translating computational workflows into tangible outcomes by moving beyond theoretical models to real-world applications, including the successful development of viable drug candidates and clinical strategies
- Integrating traditional structural biology with modern AI-driven methods by combining techniques like cryo-EM and crystallography with simulations and generative models, to create more dynamic and effective pharmaceutical pipelines