Evidence map›Paper›PMID 40735954›Full record

ArticleJournal of computational chemistry2025

Feasibility of Combining Biomolecular Conformational Sampling Techniques for Molecular Dynamics Simulation.

Jinzen Ikebe, Hidetoshi Kono

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jinzen IkebeComputational Omics Research Team, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tokyo Waterfront BIO-IT Research Building, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3692-6879
Hidetoshi KonoMolecular Modeling and Simulation Team, Institute for Quantum Life Science (iQLS), National Institutes for Quantum Science and Technology (QST), Chiba, Japan.ORCID https://orcid.org/0000-0001-5729-8707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assess the feasibility of combining two advanced molecular dynamics techniques for efficient biomolecular conformational sampling: the generalized ensemble method for enhancing conformational sampling in partial systems (GEPS), such as ALSD and REST2, which dynamically modulate atomic charges in selected regions, and the zero-multipole summation method (ZMM), which efficiently computes electrostatic interactions assuming local electrostatic neutrality. To address whether charge variation in GEPS violates the fundamental assumption of ZMM, we compared conformational ensembles obtained using GEPS combined with either ZMM or a conventional electrostatic calculation method. Our results demonstrate that GEPS and ZMM can be effectively combined without introducing systematic bias. Additionally, we identified a potential limitation of ZMM: in highly polarized systems, it may fail to capture long-range electrostatic repulsion, potentially leading to artifacts. These findings support the practical use of GEPS with ZMM for conformational sampling; however, caution is warranted when applying ZMM to systems with highly delocalized electrostatics.

Indexed as

Molecular Dynamics SimulationFeasibility StudiesMolecular ConformationProtein ConformationStatic Electricityconformational samplingcutoff based methodelectrostatic interactiongeneralized ensemble methodmolecular dynamics simulation

Identifiers

PMID40735954
PMCPMC12308781

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.