Publication details for Prof. Ehmke PohlAngles, Renzo, Arenas-Salinas, Mauricio, García, Roberto, Reyes-Suarez, Jose Antonio & Pohl, Ehmke (2020). GSP4PDB: a web tool to visualize, search and explore protein-ligand structural patterns. BMC Bioinformatics 21(S2): 85.
- Publication type: Journal Article
- ISSN/ISBN: 1471-2105 (electronic)
- DOI: 10.1186/s12859-020-3352-x
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
In the field of protein engineering and biotechnology, the discovery and characterization of structural patterns is highly relevant as these patterns can give fundamental insights into protein-ligand interaction and protein function. This paper presents GSP4PDB, a bioinformatics web tool that enables the user to visualize, search and explore protein-ligand structural patterns within the entire Protein Data Bank.
We introduce the notion of graph-based structural pattern (GSP) as an abstract model for representing protein-ligand interactions. A GSP is a graph where the nodes represent entities of the protein-ligand complex (amino acids and ligands) and the edges represent structural relationships (e.g. distances ligand - amino acid). The novel feature of GSP4PDB is a simple and intuitive graphical interface where the user can “draw” a GSP and execute its search in a relational database containing the structural data of each PDB entry. The results of the search are displayed using the same graph-based representation of the pattern. The user can further explore and analyse the results using a wide range of filters, or download their related information for external post-processing and analysis.
GSP4PDB is a user-friendly and efficient application to search and discover new patterns of protein-ligand interaction.