Evidence map›Paper›PMID 42221851›Full record

ArticleComputational and structural biotechnology journal2026

Stability-Driven Pose Prediction and Ligand Design via Contact Persistence Analysis from Molecular Dynamics Simulations.

Mochammad Arfin Fardiansyah Nasution, Gert-Jan Bekker, Suyong Re, Kenji Mizuguchi

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 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.

Mochammad Arfin Fardiansyah NasutionInstitute for Protein Research, The University of Osaka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0001-5243-8969
Gert-Jan BekkerInstitute for Protein Research, The University of Osaka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0001-8385-5693
Suyong ReArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBN), Settsu, Osaka 566-0002, Japan.ORCID https://orcid.org/0000-0002-3752-6554
Kenji MizuguchiInstitute for Protein Research, The University of Osaka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0003-3021-7078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics simulations provide deep insights into protein-ligand interactions, but their high computational cost often limits their application in early-stage drug design. To address this issue, we developed a computational workflow that integrates classical docking, high-temperature molecular dynamics simulations at 400 K, and residue-level contact persistence analysis via the

Identifiers

PMID42221851
PMCPMC13219992

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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.