Evidence map›Paper›PMID 42381395›Full record

ArticleJournal of chemical information and modeling2026

MolPy: A Large Language Model-Friendly Toolkit for Reactive Topology Editing in Polymer Simulations.

Jichen Li, Fabian Schwarz, Wentao Guo, Ge Sun, Daniel Brandell

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

5 authors.

Jichen LiDepartment of Chemistry-Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden.ORCID 0000-0003-3931-6291
Fabian SchwarzDepartment of Chemistry-Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden.ORCID 0000-0002-6798-3182
Wentao GuoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.ORCID 0000-0001-8058-8323
Ge SunCourant Institute School of Mathematics, Computing, and Data Science, New York University, New York, New York 10012, United States.ORCID 0009-0000-4508-0321
Daniel BrandellDepartment of Chemistry-Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden.ORCID 0000-0002-8019-2801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular modeling of synthetic polymers is today increasingly dependent on automation, high-throughput exploration, and the use of a diverse set of simulation tools. However, despite notable progress in molecular simulation methods, the practical infrastructure for constructing, modifying, and parametrizing polymer systems remains fragmented. Here, we launch a toolkit, MolPy, which aims to bridge this gap by providing an extensible and chemically intuitive platform for building polymer systems and orchestrating simulation workflows. The design philosophy emphasizes a clear separation of responsibilities, a stable and inspectable execution model, and a modular architecture that enables flexible extensions. In practice, the framework supports the introduction of new chemical building blocks and bonding schemes that automatically participate in construction, topology generation, and force-field assignment without requiring modification of existing modules. Interoperability with established simulation tools positions MolPy to support streamlined polymer modeling workflows that remain compatible with emerging large language model (LLM)-driven orchestration and other forms of automated pipeline construction.

Indexed as

Models, MolecularPolymersSoftwareLarge Language ModelsPolymers

Identifiers

PMID42381395
PMCPMC13370848

What OpenQuestion holds

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LicenceCC BY
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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.