Evidence map›Paper›PMID 26538313›Full record

ArticleTrends in pharmacological sciences2015

Fitting Transporter Activities to Cellular Drug Concentrations and Fluxes: Why the Bumblebee Can Fly.

Pedro Mendes, Stephen G Oliver, Douglas B Kell

Abstract readComment
In one paragraph

Article in Trends in pharmacological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The metabolome 18 years on: a concept comes of age.Metabolomics : Official journal of the Metabolomic Society · 2016
    Review
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Pedro MendesSchool of Computer Science; Manchester Institute of Biotechnology, The University of Manchester, 131 Princess St, Manchester M1 7DN, UK; Centre for Synthetic Biology of Fine and Speciality Chemicals (SYNBIOCHEM), The University of Manchester, 131, Princess St, Manchester M1 7DN, United Kingdom; Center for Quantitative Medicine, University of Connecticut, UConn Health, 263 Farmington Avenue, Farmington, CT 06030-6033, USA.
Stephen G OliverCambridge Systems Biology Centre; Dept of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA, UK.
Douglas B KellManchester Institute of Biotechnology, The University of Manchester, 131 Princess St, Manchester M1 7DN, UK; Centre for Synthetic Biology of Fine and Speciality Chemicals (SYNBIOCHEM), The University of Manchester, 131, Princess St, Manchester M1 7DN, United Kingdom; School of Chemistry, The University of Manchester, Manchester M13 9PL, United Kingdom. Electronic address: dbk@manchester.ac.uk.

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
Biotechnology and Biological Sciences Research Council BB/C5051140/2Biotechnology and Biological Sciences Research Council BB/C505140/2Biotechnology and Biological Sciences Research Council BB/J019259/1Biotechnology and Biological Sciences Research Council BB/K019783/1Biotechnology and Biological Sciences Research Council BB/L004437/1Biotechnology and Biological Sciences Research Council BB/M006891/1Biotechnology and Biological Sciences Research Council BB/M017702/1NIGMS NIH HHS GM080219NIGMS NIH HHS R01 GM080219
6 · The paper itself

Abstract

A recent paper in this journal argued that reported expression levels, kcat and Km for drug transporters could be used to estimate the likelihood that drug fluxes through Caco-2 cells could be accounted for solely by protein transporters. It was in fact concluded that if five such transporters contributed 'randomly' they could account for the flux of the most permeable drug tested (verapamil) 35% of the time. However, the values of permeability cited for verapamil were unusually high; this and other drugs have much lower permeabilities. Even for the claimed permeabilities, we found that a single 'random' transporter could account for the flux 42% of the time, and that two transporters can achieve 10·10(-6)cm·s(-1) 90% of the time. Parameter optimisation methods show that even a single transporter can account for Caco-2 drug uptake of the most permeable drug. Overall, the proposal that 'phospholipid bilayer diffusion (of drugs) is negligible' is not disproved by the calculations of 'likely' transporter-based fluxes.

Indexed as

Cell Membrane PermeabilityAnimalsHumansMembrane Transport ProteinsMembrane Transport Proteins

Identifiers

PMID26538313
PMCPMC4642801

What OpenQuestion holds

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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.