2020
DOI: 10.1186/s12859-020-3352-x
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GSP4PDB: a web tool to visualize, search and explore protein-ligand structural patterns

Abstract: Background: 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. Results: We introduce the notion of graph-based structural pattern (GSP) as an abstract… Show more

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Cited by 23 publications
(15 citation statements)
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“…After the enzyme–substrate complex has been prepared, the next step is to identify residues (design positions or hotspots) that are allowed to mutate during the sequence design steps (see Modules 4 and 5). Computational tools that predict prominent interactions between enzyme and substrate can be used to analyze the basic molecular interaction network in the binding pocket ( Jubb et al, 2017 ; Angles et al, 2020 ). A prediction of the importance of single residues or structural motifs can be achieved based on an evolutionary conservation analysis ( Ashkenazy et al, 2016 ; Gil and Fiser, 2019 ; Jin et al, 2020 ), which can be helpful to assess suitability of residues as design positions.…”
Section: Module 3: Identification Of Design Positionsmentioning
confidence: 99%
“…After the enzyme–substrate complex has been prepared, the next step is to identify residues (design positions or hotspots) that are allowed to mutate during the sequence design steps (see Modules 4 and 5). Computational tools that predict prominent interactions between enzyme and substrate can be used to analyze the basic molecular interaction network in the binding pocket ( Jubb et al, 2017 ; Angles et al, 2020 ). A prediction of the importance of single residues or structural motifs can be achieved based on an evolutionary conservation analysis ( Ashkenazy et al, 2016 ; Gil and Fiser, 2019 ; Jin et al, 2020 ), which can be helpful to assess suitability of residues as design positions.…”
Section: Module 3: Identification Of Design Positionsmentioning
confidence: 99%
“…Structure-based drug design (SBDD) is a popular method in computational drug design in which X-ray crystallographic or NMR based 3D structures of proteins/targets are utilized, and small molecule are generally studied to evaluate the nature of interaction between proteinligand. 16,19,20 It also explains the conformational tting of ligand within the binding pocket of protein. Therefore, the whole point of exploiting this technique is to nd "binders" not just "tters".…”
Section: Drug Repurposing By Virtual Screening and Molecular Dynamics (Md) Simulationsmentioning
confidence: 99%
“…Furthermore GraProStr provides no utilities for machine learning or unifying structural and interactomic data o. Mayavi, and GSP4PDB & LIGPLOT provides utilities for visualising protein structures and protein-ligand interaction as graphs, respectively. [39, 40, 41]. Bionoi is a library for representing protein-ligand interactions as voronoi diagram images specifically for applications in machine learning [42],…”
Section: Related Workmentioning
confidence: 99%