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Updated: Sep 27, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
A hypergraph-based method for unification of existing protein structure- and sequence-families
Jan Freudenberg1, Ralf Zimmer, Daniel Hanisch
1GMD-Forschungsinstitut Informationstechnik, Schloss Birlinghoven, St. Augustin, Germany. jan.freudenberg@uni-bonn.de
Abstract:
Classification of proteins is a major challenge in bioinformatics. Here an approach is presented, that unifies different existing classifications of protein structures and sequences. Protein structural domains are represented as nodes in a hypergraph. Shared memberships in sequence families result in hyperedges in the graph. The presented method partitions the hypergraph into clusters of structural domains. Each computed cluster is based on a set of shared sequence family memberships. Thus, the clusters put existing protein sequence families into the context of structural family hierarchies. Conversely, structural domains are related to their sequence family memberships, which can be used to gain further knowledge about the respective structural families.
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