Evidence map›Paper›PMID 38686803›Full record

ArticleNucleic acids research2024

SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina.

Marine Bugnon, Ute F Röhrig, Mathilde Goullieux, Marta A S Perez, Antoine Daina, Olivier Michielin, Vincent Zoete

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers.

0numbers the graph read from it
0cells of the map it votes in
249citing 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

249 citing papers in PubMed.

  1. High-level amyrin production inSynthetic and systems biotechnology · 2027
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  7. Characterization of a CYP107 family vitamin DArchives of biochemistry and biophysics · 2026
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  14. Trichomonas vaginalis cathepsin D-like aspartic proteinase (Tv-CatD) is regulated by iron at different levels.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
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189 more citing papers are in PubMed but not listed here.

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

7 authors.

Marine BugnonMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-4806-6784
Ute F RöhrigMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-4676-4087
Mathilde GoullieuxMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0001-9330-5353
Marta A S PerezMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-3963-5965
Antoine DainaMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-0074-7601
Olivier MichielinMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0003-4926-6355
Vincent ZoeteMolecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-2336-6537

Funding

SIB
6 · The paper itself

Abstract

Drug discovery aims to identify potential therapeutic compounds capable of modulating the activity of specific biological targets. Molecular docking can efficiently support this process by predicting binding interactions between small molecules and macromolecular targets and potentially accelerating screening campaigns. SwissDock is a computational tool released in 2011 as part of the SwissDrugDesign project, providing a free web-based service for small-molecule docking after automatized preparation of ligands and targets. Here, we present the latest version of SwissDock, in which EADock DSS has been replaced by two state-of-the-art docking programs, i.e. Attracting Cavities and AutoDock Vina. AutoDock Vina provides faster docking predictions, while Attracting Cavities offers more accurate results. Ligands can be imported in various ways, including as files, SMILES notation or molecular sketches. Targets can be imported as PDB files or identified by their PDB ID. In addition, advanced search options are available both for ligands and targets, giving users automatized access to widely-used databases. The web interface has been completely redesigned for interactive submission and analysis of docking results. Moreover, we developed a user-friendly command-line access which, in addition to all options of the web site, also enables covalent ligand docking with Attracting Cavities. The new version of SwissDock is freely available at https://www.swissdock.ch/.

Indexed as

Molecular Docking SimulationSoftwareBinding SitesDrug DiscoveryInternetLigandsProtein BindingProteinsSmall Molecule LibrariesUser-Computer InterfaceLigandsProteinsSmall Molecule Libraries

Identifiers

PMID38686803
PMCPMC11223881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.