Evidence map›Paper›PMID 24364041›Full record

ArticleJournal of pharmaceutics & pharmacology2013

Modeling and Simulation of Intracellular Drug Transport and Disposition Pathways with Virtual Cell.

Jason Baik, Gus R Rosania

Abstract read
In one paragraph

Article in Journal of pharmaceutics & pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. MedChemComm · 2017
    Article
  2. Review
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

2 authors.

Jason BaikDepartment of Bioengineering and Therapeutic Sciences, University of California - San Francisco, 533 Parnassus Ave. U-66, San Francisco, CA 94143, USA.
Gus R RosaniaDepartment of Pharmaceutical Sciences, University of Michigan College of Pharmacy, 428 Church Street, Ann Arbor, MI 48109, USA.

Funding

INTERDEPARTMENTAL TRAINING IN PHARMACOLOGICAL SCIENCEST32GM007767 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ISOM, LORI L. · 1985 to 2019
$10.2M
TR&D4 Spatial Modeling: Modeling Framework for Cell MotilityP41GM103313 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2012 to 2018
$9.7M
Chemical Address Tags: A Cheminformatics & Image Data Management and Analysis Plan - SupplementR01GM078200 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSANIA, GUS R · 2006 to 2015
$4.2M
NIGMS NIH HHS P41 GM103313NIGMS NIH HHS R01 GM078200NIGMS NIH HHS T32 GM007767
6 · The paper itself

Abstract

The development of computational approaches for modeling the spatiotemporal dynamics of intracellular, small molecule drug concentrations has become an increasingly important area of pharmaceutical research. For systems pharmacology, the system dynamics of subcellular transport can be coupled to downstream pharmacological effects on biochemical pathways that impact cell structure and function. Here, we demonstrate how a widely used systems biology modeling package - Virtual Cell - can also be used to model the intracellular, passive transport pathways of small druglike molecules. Using differential equations to represent passive drug transport across cellular membranes, spatiotemporal changes in the intracellular distribution and concentrations of exogenous chemical agents in specific subcellular organelles were simulated for weakly acidic, neutral, and basic molecules, as a function of the molecules' lipophilicity and ionization potentials. In addition, we simulated the transport properties of small molecule chemical agents in the presence of a homogenous extracellular concentration or a transcellular concentration gradient. We also simulated the effects of cell type-dependent variations in the intracellular microenvironments on the distribution and accumulation of small molecule chemical agents in different organelles over time, under influx and efflux conditions. Lastly, we simulated the transcellular transport of small molecule chemical agents, in the presence of different apical and basolateral microenvironments. By incorporating existing models of drug permeation and subcellular distribution, our results indicate that Virtual Cell can provide a user-friendly, open, online computational modeling platform for systems pharmacology and biopharmaceutics research, making mathematical models and simulation results accessible to a broad community of users, without requiring advanced computer programming knowledge.

Indexed as

Computational BiologyDrug DispositionPharmacokineticsPharmacologySimulation and ModelingSystems BiologySystems PharmacologyVirtual Cell

Identifiers

PMID24364041
PMCPMC3869409

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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.