Evidence map›Paper›PMID 41710352›Full record

ArticleBioinformatics advances2026

zelll: a fast, framework-free, and flexible implementation of the cell lists algorithm for the Rust programming language.

Vincent Messow, Christian Höner Zu Siederdissen, Michael Habeck

Abstract read
In one paragraph

Article in Bioinformatics advances, 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

3 authors.

Vincent MessowMicroscopic Image Analysis Group, Jena University Hospital, 07747 Jena, Germany.ORCID https://orcid.org/0000-0002-4467-8804
Christian Höner Zu SiederdissenIndependent Researcher.ORCID https://orcid.org/0000-0001-9517-5839
Michael HabeckMicroscopic Image Analysis Group, Jena University Hospital, 07747 Jena, Germany.ORCID https://orcid.org/0000-0002-2188-5667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: The cell lists algorithm is widely used to compute pairwise particle interactions below a fixed cutoff distance in approximately linear time. Prominent molecular dynamics frameworks implementing cell lists variants assume pre-determined and densely populated simulation boxes suitable for e.g. all-atom simulations with explicit solvents. zelll implements a simple yet efficient variant of the cell lists algorithm that uses sparse storage for the underlying partitioning grid. This allows for applications with dynamic simulation boundaries and sparsely populated simulation space not strictly fitting into the scope of common molecular dynamics frameworks, such as many coarse-grained simulations. For this reason, zelll does not target specific frameworks. Availability and implementation: zelll is an open-source Rust library available under the MIT license at https://github.com/microscopic-image-analysis/zelll and https://crates.io/crates/zelll. Python bindings are available at https://pypi.org/project/zelll.

Identifiers

PMID41710352
PMCPMC12910374

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.