Evidence map›Paper›PMID 40337920›Full record

ArticleNucleic acids research2025

Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins.

Sérgio M Marques, Simeon Borko, Ondrej Vavra, Jan Dvorsky, Petr Kohout, Petr Kabourek, Lukas Hejtmanek, Jiri Damborsky, David Bednar

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Substrate scope of ancestral versus modern family-1 glycosidases.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Article
  6. Mol* web molecular graphics engine.Protein science : a publication of the Protein Society · 2026
    Article
  7. Article
  8. Article
  9. 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

9 authors.

Sérgio M MarquesLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Simeon BorkoLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Ondrej VavraLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Jan DvorskyLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Petr KohoutLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Petr KabourekLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.
Lukas HejtmanekInstitute of Computer Science, Masaryk University, 60200 Brno, Czech Republic.
Jiri DamborskyLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.ORCID 0000-0002-7848-8216
David BednarLoschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic.ORCID 0000-0002-6803-0340

Funding

Czech National Foundation 25-18233MEuropean Union's Horizon 2020 101136607European Union's Horizon 2020 857560European Union's Horizon 2020 CA21162Ministry of Education CZ.02.01.01/00/23_029/0008437Ministry of Education, Youth, and Sports of the Czech Republic LM2018140Ministry of Education, Youth, and Sports of the Czech Republic LM2023055
6 · The paper itself

Abstract

Enzymes with buried active sites utilize molecular tunnels to exchange substrates, products, and solvent molecules with the surface. These transport mechanisms are crucial for protein function and influence various properties. As proteins are inherently dynamic, their tunnels also vary structurally. Understanding these dynamics is essential for elucidating structure-function relationships, drug discovery, and bioengineering. Caver Web 2.0 is a user-friendly web server that retains all Caver Web 1.0 functionalities while introducing key improvements: (i) generation of dynamic ensembles via automated molecular dynamics with YASARA, (ii) analysis of dynamic tunnels with CAVER 3.0, (iii) prediction of ligand trajectories in multiple snapshots with CaverDock 1.2, and (iv) customizable ligand libraries for virtual screening. Users can assess protein flexibility, identify and characterize tunnels, and predict ligand trajectories and energy profiles in both static and dynamic structures. Additionally, the platform supports virtual screening with FDA/EMA-approved drugs and user-defined datasets. Caver Web 2.0 is a versatile tool for biological research, protein engineering, and drug discovery, aiding the identification of strong inhibitors or new substrates to bind to the active sites or tunnels, and supporting drug repurposing efforts. The server is freely accessible at https://loschmidt.chemi.muni.cz/caverweb.

Indexed as

ProteinsSoftwareCatalytic DomainDrug DiscoveryInternetLigandsMolecular Dynamics SimulationProtein ConformationLigandsProteins

Identifiers

PMID40337920
PMCPMC12230698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.