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A Platform Based on the Multi-dimensional Data Model for Analysis of Bio-Molecular Structures

Summary: AnMol uses a multi-dimensional data model to analyze large biomolecular structures. Biomolecular forms become graphs stored as vectors; similarity and substructure queries map to distance and containment, enabling inexact matches with refinement; design, schema, and performance issues are discussed. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9040
Venue
VLDB
Year
2003
Pagerank
0.0001719168
Overall Rank
753 | 94.77%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
203 Graph Indexing: A Frequent Structure-based Approach 2004 SIGMOD 0.00034889335
350 FG-Index: Towards Verification-Free Query Processing on Graph Databases 2007 SIGMOD 0.00026365067
572 Substructure Similarity Search in Graph Databases 2005 SIGMOD 0.00019887011
900 Graph Indexing: Tree + Delta >= Graph 2007 VLDB 0.00015495155
951 Comparing Stars: On Approximating Graph Edit Distance 2009 VLDB 0.00015106325
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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