Evidence map›Paper›PMID 39680044›Full record

ArticleJournal of chemical information and modeling2025

Water Migration through Enzyme Tunnels Is Sensitive to the Choice of Explicit Water Model.

Aravind Selvaram Thirunavukarasu, Katarzyna Szleper, Gamze Tanriver, Igor Marchlewski, Karolina Mitusinska, Artur Gora, Jan Brezovsky

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Impact of water models on the structure and dynamics of enzyme tunnels.Computational and structural biotechnology journal · 2024
    Article
  6. Water will Find Its Way: Transport through Narrow Tunnels in Hydrolases.Journal of chemical information and modeling · 2024
    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

7 authors.

Aravind Selvaram ThirunavukarasuLaboratory of Biomolecular Interactions and Transport, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, 61-614 Poznań, Poland.
Katarzyna SzleperTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
Gamze TanriverTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
Igor MarchlewskiLaboratory of Biomolecular Interactions and Transport, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, 61-614 Poznań, Poland.
Karolina MitusinskaTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
Artur GoraTunneling Group, Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0003-2530-6957
Jan BrezovskyLaboratory of Biomolecular Interactions and Transport, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, 61-614 Poznań, Poland.ORCID 0000-0001-9677-5078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of tunnels and water transport within enzymes is crucial for their catalytic function as water molecules can stabilize bound substrates and help with unbinding processes of products and inhibitors. Since the choice of water models for molecular dynamics simulations was shown to determine the accuracy of various calculated properties of the bulk solvent and solvated proteins, we have investigated if and to what extent water transport through the enzyme tunnels depends on the selection of the water model. Here, we focused on simulating enzymes with various well-defined tunnel geometries. In a systematic investigation using haloalkane dehalogenase as a model system, we focused on the well-established TIP3P, OPC, and TIP4P-Ew water models to explore their impact on the use of tunnels for water molecule transport. The TIP3P water model showed significantly faster migration, resulting in the transport of approximately 2.5 times more water molecules compared to that of the OPC and 1.7 times greater than that of the TIP4P-Ew. Finally, the transport was 1.4-fold more pronounced in TIP4P-Ew than in OPC. The increase in migration of TIP3P water molecules was mainly due to faster transit times through dehalogenase tunnels. We observed similar behavior in two different enzymes with buried active sites and different tunnel network topologies, i.e., alditol oxidase and cytochrome P450, indicating that our findings are likely not restricted to a particular enzyme family. Overall, this study showcases the critical importance of water models in comprehending the use of enzyme tunnels for small molecule transport. Given the significant role of water availability in various stages of the catalytic cycle and the solvation of substrates, products, and drugs, choosing an appropriate water model may be crucial for accurate simulations of complex enzymatic reactions, rational enzyme design, and predicting drug residence times.

Indexed as

HydrolasesMolecular Dynamics SimulationWaterCatalytic Domainhaloalkane dehalogenaseHydrolasesWater

Identifiers

PMID39680044
PMCPMC11733929

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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.