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Explore the cutting-edge concept of virtual cells in drug discovery through this hour-long conference talk that presents a comprehensive vision for computational models capable of simulating cellular responses to therapeutic interventions. Delve into how virtual cells could revolutionize the drug discovery process by enabling researchers to predict patient responses and test therapeutic hypotheses safely and economically before costly clinical trials. Learn about the fundamental challenges in creating these models given the complexity of cellular biology, and discover how recent advances in AI, computing power, lab automation, and high-throughput cellular profiling are creating new opportunities to achieve this long-standing goal. Understand the key requirements for therapeutically-relevant virtual cells, including their ability to accurately predict functional cellular responses to perturbations and explain how these responses result from modifications to biomolecular interactions. Examine the lab-in-the-loop approach for generating novel biological insights and the importance of biologically-grounded benchmarks for guiding virtual cell development. Gain insights into how this framework extends beyond cellular models to potentially create virtual patients, offering a transformative approach to drug discovery that could significantly improve therapeutic outcomes and reduce development costs.
