Evidence map›Paper›PMID 42637961›Full record

ReviewJournal of computer-aided molecular design2026

Beyond the flat screen: evaluating virtual reality as a complementary tool for molecular docking in drug discovery.

Viktoria A Feoktistova, Korney Aruko, Ekaterina V Skorb, Sergey Shityakov

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Viktoria A FeoktistovaLaboratory of Chemoinformatics, Infochemistry Scientific Center, ITMO University, Lomonosova Street 9, 191002, Saint Petersburg, Russian Federation.
Korney ArukoLaboratory of Chemoinformatics, Infochemistry Scientific Center, ITMO University, Lomonosova Street 9, 191002, Saint Petersburg, Russian Federation.
Ekaterina V SkorbLaboratory of Chemoinformatics, Infochemistry Scientific Center, ITMO University, Lomonosova Street 9, 191002, Saint Petersburg, Russian Federation.
Sergey ShityakovLaboratory of Chemoinformatics, Infochemistry Scientific Center, ITMO University, Lomonosova Street 9, 191002, Saint Petersburg, Russian Federation. shityakoff@hotmail.com.ORCID 0000-0002-6953-9771

Funding

Ministry of Science and Higher Education of the Russian Federation FSER-2024-0003
6 · The paper itself

Abstract

Molecular docking is a key computational approach in drug discovery and structural biology. Traditional docking tools, while effective for high-throughput screening, often rely on rigid or semiflexible receptor models and purely algorithmic sampling, limiting accurate modeling of induced-fit effects and dynamic binding pathways. Virtual reality (VR) platforms introduce a human-in-the-loop approach, enabling immersive 3D visualization, improved spatial perception of molecular interactions, and intuitive manipulation of ligands and flexible receptor regions. In addition, collaborative VR environments allow multiple researchers to interact with the same molecular model simultaneously while working remotely, potentially enhancing communication and interdisciplinary cooperation. Despite these advantages, several challenges continue to limit the widespread adoption of VR-assisted docking. This critical review compares classical and VR-based molecular docking approaches, focusing on their respective capabilities, advantages, and current limitations.

Indexed as

Drug DiscoveryMolecular Docking SimulationVirtual RealityAlgorithmsDrug DesignHumansLigandsProtein BindingLigandsDrug designImmersive environmentsMolecular dockingVirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
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.