Evidence map›Paper›PMID 33928581›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Cationic Dendrimers for siRNA Delivery: Computational Approaches for Characterization.

Domenico Marson, Suzana Aulic, Maurizio Fermeglia, Erik Laurini, Sabrina Pricl

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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.

Domenico MarsonMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTs), Department of Engineering and Architecture, University of Trieste, Trieste, Italy. domenico.marson@dia.units.it.
Suzana AulicMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTs), Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
Maurizio FermegliaMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTs), Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
Erik LauriniMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTs), Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
Sabrina PriclMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTs), Department of Engineering and Architecture, University of Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, computer simulations have been established as a fundamental tool in the design and development of new dendrimer-based nanocarriers for drug and gene delivery. Moreover, the level of detail contained in the information that can be gathered by performing atomistic-scale simulations cannot be obtained with any other available experimental technique. In this chapter we describe the main computational toolbox that can be exploited in the different stages of novel dendritic nanocarrier production-from the initial conception to the stage of biological intermolecular interactions.

Indexed as

Molecular Dynamics SimulationRNA InterferenceTransfectionAnimalsCationsCell LineDendrimersHumansNanoparticlesResearch DesignRNA, Small InterferingSoftwareWorkflowCationsDendrimersPAMAM StarburstRNA, Small InterferingAsphericityBinding free energyDendrimer characterizationMolecular dynamicsMolecular mechanics/Poisson-Boltzmann methodsRadius of gyration

Identifiers

PMID33928581

What OpenQuestion holds

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Registered trials

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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.