Evidence map›Paper›PMID 26040678›Full record

ArticleJournal of molecular modeling2015

Comparative evaluation of several docking tools for docking small molecule ligands to DC-SIGN.

Gregor Jug, Marko Anderluh, Tihomir Tomašič

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. In Silico Studies of Four Compounds ofMolecules (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. An Efficient ABC_DE_Based Hybrid Algorithm for Protein-Ligand Docking.International journal of molecular sciences · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking.Journal of computational biology : a journal of computational molecular cell biology · 2016
    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

3 authors at 1 institution in 1 country.

Gregor JugFaculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia.
Marko Anderluh
Tihomir Tomašič
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Five docking tools, namely AutoDock, FRED, CDOCKER, FlexX and GOLD, have been critically examined, with the aim of selecting those most appropriate for use as docking tools for docking molecules to the lectin dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN). This lectin has been selected for its rather non-druggable binding site, which enables complex interactions that guide the binding of the core monosaccharide. Since optimal orientation is crucial for forming coordination bonds, it was important to assess whether the selected docking tools could reproduce the optimal binding conformation for several oligosaccharides that are known to bind DC-SIGN. Our results show that even widely used docking programs have certain limitations when faced with a rather shallow and featureless binding site, as is the case of DC-SIGN. The FRED docking software (OpenEye Scientific Software, Inc.) was found to score as the best tool for docking ligands to DC-SIGN. The performance of FRED was further assessed on another lectin, Langerin. We have demonstrated that this validated docking protocol could be used for docking to other lectins similar to DC-SIGN.

Indexed as

LigandsModels, MolecularCell Adhesion MoleculesDC-Specific ICAM-3 Grabbing NonintegrinLectins, C-TypeMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationReceptors, Cell SurfaceCell Adhesion MoleculesDC-Specific ICAM-3 Grabbing NonintegrinLectins, C-TypeLigandsReceptors, Cell Surface

Identifiers

PMID26040678
OpenAlexW614360073

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.