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DaliScope: Distilling Biological Insights from Deep Structural Alignments
bioRxiv · · Preprint · Open access
Liu, Törönen + 3 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
DaliScope uses DALI target sets as structured populations to uncover structurally anchored signatures, including an HxD...H motif in 697 of 1,093 CUPIN Pfam domains.
- Why it matters: DALI match lists are hard to interpret as biology, and sequence-only annotations miss relationships that structural neighborhoods can reveal.
- What they did: The interactive Python framework combines structural community detection, sequence profiling, Pfam annotation, residue mapping, and 3D visualization to subdivide targets and analyze residues.
- The result: In a transitive-closure DALI neighborhood, applying an 80% coverage filter reduced >12,000 hits to 6,708 domain instances in 23 communities, including enrichment and context for 1,097 targets lacking Pfam assignments.
The findingWhy it mattersWhat they didThe result
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