Evidence map›Paper›PMID 42864962›Full record

ArticleDrug delivery2026

Modelling nano-particle-PEG-NLS complexes for nucleus-targeted drug delivery: revisiting the multi-dynein nano-cargo transport on microtubules.

Tal Yagev, Itay Fayer, Itay Adar, Gal Halbi, Anne Bernheim-Groswasser, Rony Granek

Abstract read
In one paragraph

Article in Drug delivery, 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

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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

6 authors.

Tal YagevAvram and Stella Goldstein-Goren Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Itay FayerAvram and Stella Goldstein-Goren Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Itay AdarDepartment of Chemical Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Gal HalbiDepartment of Chemical Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Anne Bernheim-GroswasserDepartment of Chemical Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Rony GranekAvram and Stella Goldstein-Goren Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient transport to the nuclear envelope is a prerequisite for many nucleus-targeted drug delivery strategies. We develop an enhanced, energy-based simulation of spherical nanoparticle (NP) complexes hauled by multiple dynein motors via flexible polymer linkers, aimed at deriving design rules for nucleus-directed delivery. The model extends prior work by treating dynein as a semi-flexible polymer and enforcing path-wise steric exclusion along full stepping trajectories. Event propensities follow a Monte-Carlo scheme with energies that couple linker entropy, dynein bending, and binding enthalpy; post-event mechanical relaxation uses gradient descent. We compare our model results to recent motility assays of spherical NPs decorated with polyethylene-glycol (PEG) polymers, each ending with a nuclear-localisation-signal (NLS) peptide that can recruit dynein from the cytoplasm. With standardised biophysical parameters, the model captures the observed dependence on motor number: longitudinal velocity decreases with dynein load, whereas run-distance and run-time increase. For mean NP-bound motors between 1 and 6, the model results lie within the experimental 95% confidence intervals. A systematic scan of polymer contour length, for a 20 nm radius cargo hauled by six motors, reveals a clear optimum of the run-time and run-length at about 40 nm length, despite a reduction in velocity. Similar results, for different cargo sizes and motor loading, can be obtained using our model-based computer code. They can provide a quantitative basis for tuning linker contour length (and, secondarily, motor loading by tuning PEG-NLS density) when engineering NP vehicles that exploit native microtubule transport for nucleus-directed delivery.

Indexed as

Cell NucleusDrug Delivery SystemsDyneinsMicrotubulesNanoparticlesNuclear Localization SignalsPolyethylene GlycolsMonte Carlo MethodPolymersDyneinsNuclear Localization SignalsPolyethylene GlycolsPolymersdrug deliveryDynein motors, nucleus-targetedintracellular active transportmicrotubule-based transportnanoparticlessemi-flexible polymersstochastic simulations

Identifiers

PMID42864962
PMCPMC13665706

What OpenQuestion holds

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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.