Evidence map›Paper›PMID 23895374›Full record

ArticleJournal of cheminformatics2013

The good, the bad and the dubious: VHELIBS, a validation helper for ligands and binding sites.

Adrià Cereto-Massagué, María José Ojeda, Robbie P Joosten, Cristina Valls, Miquel Mulero, M Josepa Salvado, Anna Arola-Arnal, Lluís Arola, Santiago Garcia-Vallvé, Gerard Pujadas

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

24 citing papers in PubMed.

  1. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Halogen bonds between ligands and proteins: Can we use them in validation?Protein science : a publication of the Protein Society · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 'International journal of molecular sciences · 2021
    Article
  7. Article
  8. The Light and Dark Sides of Virtual Screening: What Is There to Know?International journal of molecular sciences · 2019
    Review
  9. Article
  10. Review
  11. Review
  12. Tools for ligand validation in Coot.Acta crystallographica. Section D, Structural biology · 2017
    Article
  13. Open source molecular modeling.Journal of molecular graphics & modelling · 2016
    Review
  14. Improved ligand geometries in crystallographic refinement using AFITT in PHENIX.Acta crystallographica. Section D, Structural biology · 2016
    Article
  15. Models of protein-ligand crystal structures: trust, but verify.Journal of computer-aided molecular design · 2015
    Article
  16. Article
  17. The solvent component of macromolecular crystals.Acta crystallographica. Section D, Biological crystallography · 2015
    Review
  18. Review
  19. Article
  20. Review
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

10 authors.

Adrià Cereto-MassaguéGrup de Recerca en Nutrigenòmica, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Campus de Sescelades, C/ Marceŀlí Domingo s/n, Tarragona, Catalonia 43007, Spain. gerard.pujadas@urv.cat.
María José Ojeda
Robbie P Joosten
Cristina Valls
Miquel Mulero
M Josepa Salvado
Anna Arola-Arnal
Lluís Arola
Santiago Garcia-Vallvé
Gerard Pujadas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany Protein Data Bank (PDB) users assume that the deposited structural models are of high quality but forget that these models are derived from the interpretation of experimental data. The accuracy of atom coordinates is not homogeneous between models or throughout the same model. To avoid basing a research project on a flawed model, we present a tool for assessing the quality of ligands and binding sites in crystallographic models from the PDB.

resultsThe Validation HElper for LIgands and Binding Sites (VHELIBS) is software that aims to ease the validation of binding site and ligand coordinates for non-crystallographers (i.e., users with little or no crystallography knowledge). Using a convenient graphical user interface, it allows one to check how ligand and binding site coordinates fit to the electron density map. VHELIBS can use models from either the PDB or the PDB_REDO databank of re-refined and re-built crystallographic models. The user can specify threshold values for a series of properties related to the fit of coordinates to electron density (Real Space R, Real Space Correlation Coefficient and average occupancy are used by default). VHELIBS will automatically classify residues and ligands as Good, Dubious or Bad based on the specified limits. The user is also able to visually check the quality of the fit of residues and ligands to the electron density map and reclassify them if needed.

conclusionsVHELIBS allows inexperienced users to examine the binding site and the ligand coordinates in relation to the experimental data. This is an important step to evaluate models for their fitness for drug discovery purposes such as structure-based pharmacophore development and protein-ligand docking experiments.

Identifiers

PMID23895374
PMCPMC3733808

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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.