Evidence map›Paper›PMID 42376920›Full record

ArticleJournal of chemical information and modeling2026

CondenSimAdapter: A Versatile Builder for Multiscale Simulations of Protein Condensates with Broad Force-Field Compatibility and Robust Dense-Phase Relaxation.

Xiaojing Tian, Wei Han

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 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

2 authors.

Xiaojing TianSchool of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
Wei HanDepartment of Chemistry, Faculty of Science, Hong Kong Baptist University, Hong Kong, SAR 999077, China.ORCID 0000-0003-0759-1766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiscale molecular dynamics simulations that sequentially couple coarse-grained (CG) sampling with all-atom (AA) simulation are widely used to study biomolecular condensates, yet building such multiscale systems remains a practical challenge. Dense CG condensate configurations must be backmapped and converted into stable, explicitly solvated AA systems─a step where severe steric clashes often prevent production simulation, creating a "relaxation bottleneck". Here, we introduce

Indexed as

Biomolecular CondensatesMolecular Dynamics SimulationProteinsSoftwareProtein ConformationProteins

Identifiers

PMID42376920
PMCPMC13370849

What OpenQuestion holds

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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.