2016/01/25 by Wajdi Dhifli, Dhifli, Wajdi, Abdoulaye Baniré Diallo +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Other Computer Science (cs.OH) #cs.OH #q-bio.BM
paper · pdf · doi:10.48550/arxiv.1604.00045
arxiv created 2016/01/25 · openalex publication_date 2016/01/25 · arxiv updated 2016/04/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Graph theory and graph mining constitute rich fields of computational techniques to study the structures, topologies and properties of graphs. These techniques constitute a good asset in bioinformatics if there exist efficient methods for transforming biological data into graphs. In this paper, we present Protein Graph Repository (PGR), a novel database of protein 3D-structures transformed into graphs allowing the use of the large repertoire of graph theory techniques in protein mining. This repository contains graph representations of all currently known protein 3D-structures described in the Protein Data Bank (PDB). PGR also provides an efficient online converter of protein 3D-structures into graphs, biological and graph-based description, pre-computed protein graph attributes and statistics, visualization of each protein graph, as well as graph-based protein similarity search tool. Such repository presents an enrichment of existing online databases that will help bridging the gap between graph mining and protein structure analysis. PGR data and features are unique and not included in any other protein database. The repository is available at http://wjdi.bioinfo.uqam.ca/.