Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining
IEEE Transactions on Knowledge and Data Engineering
Multiple Structural Alignment and Core Detection by Geometric Hashing
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Graph-based hierarchical conceptual clustering
The Journal of Machine Learning Research
New techniques for extracting features from protein sequences
IBM Systems Journal - Deep computing for the life sciences
Searching on the secondary structure of protein sequences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Substructure Clustering on Sequential 3d Object Datasets
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Graph indexing: a frequent structure-based approach
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Substructure similarity search in graph databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Graph indexing based on discriminative frequent structure analysis
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2004
Feature-based similarity search in graph structures
ACM Transactions on Database Systems (TODS)
Fg-index: towards verification-free query processing on graph databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Efficient query processing on graph databases
ACM Transactions on Database Systems (TODS)
Independent informative subgraph mining for graph information retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Comparing stars: on approximating graph edit distance
Proceedings of the VLDB Endowment
Hypergraph-based image retrieval for graph-based representation
Pattern Recognition
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A platform called AnMol for supporting analytical applications over structural data of large biomolecules is described. The term "biomolecular structure" has various connotations and different representations. AnMol reduces these representations into graph structures. Each of these graphs are then stored as one or more vectors in a database. Vectors encapsulate structural features of these graphs. Structural queries like similarity and substructure are transformed into spatial constructs like distance and containment within regions. Query results are based on inexact matches. A refinement mechanism is supported for increasing accuracy of the results. Design and implementation issues of AnMol including schema structure and performance results are discussed in this paper.