  Characterizing structural and dynamic properties of proteins and large
macromolecular assemblies is crucial to understand the molecular mechanisms
underlying biological functions. In the field of Structural Biology, no single
method comprehensively reveals the behavior of biological systems across
various spatio-temporal scales. Instead, we have a versatile toolkit of
techniques, each contributing a piece to the overall puzzle. Integrative
Structural Biology combines different techniques to create accurate and precise
multi-scale models that expand our understanding of complex biological systems.
This review outlines recent advancements in computational and experimental
methods in Structural Biology, with special focus on recent Artificial
Intelligence techniques, emphasizes integrative approaches that combine
different types of data for precise spatio-temporal modeling, and provides an
outlook into future directions of this field.
