Evidence map›Paper›PMID 17703347›Full record

ArticlePharmaceutical research2007

An in silico transwell device for the study of drug transport and drug-drug interactions.

Lana X Garmire, David G Garmire, C Anthony Hunt

Abstract readValidation Study
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In one paragraph

Article in Pharmaceutical research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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.

Lana X GarmireGraduate Group in Comparative Biochemistry, University of California, Berkeley, California, USA.
David G Garmire
C Anthony Hunt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeValidate and exemplify a discrete, componentized, in silico, transwell device (ISTD) capable of mimicking the in vitro passive transport properties of compounds through cell monolayers. Verify its use for studying drug-drug interactions.

methodsWe used the synthetic modeling method. Specialized software components represented spatial and functional features including cell components, semi-porous tight junctions, and metabolizing enzymes. Mobile components represented drugs. Experiments were conducted and analyzed as done in vitro.

resultsVerification experiments provided data analogous to those in the literature. ISTD parameters were tuned to simulate and match in vitro urea transport data; the objects representing tight junction (effective radius of 6.66 A) occupied 0.066% of the surface area. That ISTD was then tuned to simulate pH-dependent, in vitro alfentanil transport properties. The resulting ISTD predicted the passive transport properties of 14 additional compounds, individually and all together in one in silico experiment. The function of a two-site enzymatic component was cross-validated with a kinetic model and then experimentally validated against in vitro benzyloxyresorufin metabolism data. Those components were used to exemplify drug-drug interaction studies.

conclusionsThe ISTD is an example of a new class of simulation models capable of realistically representing complex drug transport and drug-drug interaction phenomena.

Indexed as

Biological TransportDrug InteractionsSoftwareAlfentanilAnalgesics, OpioidAnimalsCatalytic DomainCell MembraneComputer SimulationDiffusionDrug Evaluation, PreclinicalEnzymesEquipment DesignHumansHydrogen-Ion ConcentrationKineticsAlfentanilAnalgesics, OpioidbenzyloxyresorufinEnzymesOxazinesPharmaceutical PreparationsUrea

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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.