Evidence map›Paper›PMID 31578656›Full record

ArticleJournal of computer-aided molecular design2019

Assessing and improving the performance of consensus docking strategies using the DockBox package.

Jordane Preto, Francesco Gentile

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational Prediction of the Interaction of Ivermectin with Fibrinogen.International journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Multitarget Action of Xanthones fromMolecules (Basel, Switzerland) · 2022
    Article
  12. Article
  13. 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

2 authors.

Jordane PretoDepartment of Oncology, University of Alberta, Edmonton, AB, Canada. jordane.preto@univ-lyon1.fr.ORCID 0000-0002-6041-4008
Francesco GentileDepartment of Physics, University of Alberta, Edmonton, AB, Canada. fgentile@prostatecentre.com.ORCID 0000-0001-8299-1976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular docking is a well-established computational technique that aims to predict how a ligand binds to a specific protein target, as well as to assess the strength of the binding. Although docking programs are used worldwide for drug discovery, it is not always simple to identify which program or combination of programs provides the best results for a target of interest. Here we present DockBox, a computational package designed to facilitate the use of multiple docking and scoring programs allowing to combine them using different consensus strategies. As part of the DockBox package, a new consensus docking method called score-based consensus docking (SBCD) is introduced. SBCD was found to significantly improve the pose prediction success rates of single docking programs. When applied to virtual screening, SBCD enhanced enrichment factors while producing higher hit rates than standard consensus docking (CD). SBCD can be run with almost no additional computational cost and time compared to CD, if the same docking programs are used for pose generation. Furthermore, SBCD allows the use of many scoring functions to assess consensus without significant overhead, making it a promising new approach for the screening of large chemical libraries. DockBox is an open-source package publicly available at https://pypi.org/project/dockbox .

Indexed as

SoftwareAlgorithmsComputational BiologyDrug DiscoveryHumansLigandsMolecular Docking SimulationProteinsSmall Molecule LibrariesLigandsProteinsSmall Molecule LibrariesBinding pose predictionComputer-aided drug discoveryConsensus dockingDocking softwareScoring functionsVirtual screening

Identifiers

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Registered trials

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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.