Progress in protein structural biology relies heavily on key computational technologies, structural alignment
being an indispensable one. Despite its importance the structural alignment problem has not been
formulated, much less solved, in a consistent and reliable way. This project will rectify this by combining novel
information-theoretic inference with advances in constraint optimization and visualization. State-of-the-art
alignment methods will be produced for biologists to generate statistically-rigorous and biologicallytrustworthy
alignments, and allow them to visualize structural relationships in unprecedented ways. This
project will provide direct payoffs to the fields of protein science, crystallography and bioinformatics.