Evidence map›Paper›PMID 18438693›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2008

3D Multi-agent models for protein release from PLGA spherical particles with complex inner morphologies.

Ana Barat, Heather J Ruskin, Martin Crane

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In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2008. 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.

Ana BaratDublin City University, Dublin, 9, Ireland. abarat@computing.dcu.ie
Heather J Ruskin
Martin Crane

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to better understand and predict the release of proteins from bioerodible microspheres or nanospheres, it is important to know the influences of different initial factors on the release mechanisms, though often it is difficult to assess what exactly is at the origin of a certain dissolution profile. We propose here a new class of fine-grained multi-agent models built to incorporate increasing complexity, permitting the exploration of the role of different parameters, especially that of the internal morphology of the spheres, in the exhibited release profile. This approach, based on Monte Carlo (MC) and cellular automata (CA) techniques, has permitted the testing of various assumptions and hypotheses about several experimental systems of nanospheres encapsulating proteins. Results have confirmed that this modelling approach has increased the resolution over the complexity involved, opening promising perspectives for future developments, especially complementing in vitro experimentation.

Indexed as

Models, ChemicalComputer SimulationDiffusionDrug CarriersImaging, Three-DimensionalLactic AcidMicrospheresMolecular ConformationNanostructuresParticle SizePolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerProteinsDrug CarriersLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerProteins

Identifiers

What OpenQuestion holds

Textmetadata
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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.