Integrative Structural Biology: Bridging Fields, Techniques, and Scales

Biological discovery is undergoing a transformation driven by the convergence of advanced imaging technologies, data science, and computational modeling. This Keystone Symposium will address the critical need to integrate heterogeneous imaging modalities, aided by computational and Deep Learning-driven approaches, to derive mechanistic and predictive insights from complex biological data. The meeting aims to foster dialogue among imaging scientists, computational biologists, data scientists, and systems biologists to define emerging frontiers in data integration, standardization, accessibility, and visualization. Previous conferences have often centered on individual structural biology techniques but have rarely emphasized interdisciplinary approaches. In contrast, this meeting contains a carefully curated program that prioritizes research presentations explicitly focused on integrative approaches, ensuring that the symposium moves beyond acknowledgement to actionable convergence.

Topics: Biochemistry, Advanced Imaging, Computational Biology, Structural Biology, Data Science, Artificial Intelligence, Deep Learning, Interdisciplinary Science, Data Integration, Predictive Biology