Evidence map›Paper›PMID 32164553›Full record

ArticleBMC bioinformatics2020

GSP4PDB: a web tool to visualize, search and explore protein-ligand structural patterns.

Renzo Angles, Mauricio Arenas-Salinas, Roberto García, Jose Antonio Reyes-Suarez, Ehmke Pohl

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. User-centric design of a 3D search interface for protein-ligand complexes.Journal of computer-aided molecular design · 2024
    Article
  3. An optimized relational database for querying structural patterns in proteins.Database : the journal of biological databases and curation · 2024
    Article
  4. Article
  5. Article
  6. Databases and Tools to Investigate Protein-Metabolite Interactions.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Review
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Renzo AnglesDepartment of Computer Science, Universidad de Talca, Camino Los Niches Km 1, Curicó, Chile. rangles@utalca.cl.
Mauricio Arenas-SalinasCentro de Bioinformática y Simulación Molecular, Universidad de Talca, Talca, Chile.
Roberto GarcíaMillennium Institute for Foundational Research on Data, Santiago, Chile.
Jose Antonio Reyes-SuarezCentro de Bioinformática y Simulación Molecular, Universidad de Talca, Talca, Chile.
Ehmke PohlDepartment of Chemistry, Durham University, Durham, DH1 3LE, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

resultsWe 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.

conclusionsGSP4PDB is a user-friendly and efficient application to search and discover new patterns of protein-ligand interaction.

Indexed as

LigandsUser-Computer InterfaceAnimalsDatabases, ProteinHumansHydrogen BondingProtein Interaction MapsProteinsProtein Structure, SecondaryProtein Structure, TertiaryZinc FingersLigandsProteinsBig dataPDBProtein-ligand interactionStructural patterns

Identifiers

PMID32164553
PMCPMC7068854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.