Abstract
Statistical and numerical methods for 3D pattern recognition and classification are now commonly used to acquire structural knowledge from the rapidly growing crystallographic databases. These methods are reviewed, and a semantic network model is described for the storage of crystal and molecular knowledge. The knowledge base is central to an integrated computational strategy for molecular scene analysis: the reconstruction and interpretation of 3D molecular structures and molecular interactions.
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