Evidence map›Paper›PMID 23066853›Full record

ReviewChemical biology & drug design2013

Back to the future: can physical models of passive membrane permeability help reduce drug candidate attrition and move us beyond QSPR?

Robert V Swift, Rommie E Amaro

Abstract readReview
In one paragraph

Review in Chemical biology & drug design, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Elucidating Antibiotic Permeation through theJournal of chemical information and modeling · 2024
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  2. Review
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  18. MolMeDB: Molecules on Membranes Database.Database : the journal of biological databases and curation · 2019
    Article
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  20. 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

2 authors.

Robert V SwiftDepartment of Chemistry and Biochemistry, University of California San Diego, 3234 Urey Hall, 9500 Gilman Drive, Mail Code 0340, La Jolla, CA 92093-0340, USA.
Rommie E Amaro

Funding

A Structural Systems Biology Approach to Drug DiscoveryDP2OD007237 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2010 to 2015
$2.9M
NIH HHS 1-DP2-OD007237NIH HHS DP2 OD007237
6 · The paper itself

Abstract

It is widely recognized that adsorption, distribution, metabolism, excretion, and toxicology liabilities kill the majority of drug candidates that progress to clinical trials. The development of computational models to predict small molecule membrane permeability is therefore of considerable scientific and public health interest. Empirical qualitative structure permeability relationship models of permeability have been a mainstay in industrial applications, but lack a deep understanding of the underlying biologic physics. Others and we have shown that implicit solvent models to predict passive permeability for small molecules exhibit mediocre predictive performance when validated across experimental test sets. Given the vast increase in computer power, more efficient parallelization schemes, and extension of current atomistic simulation codes to general use graphical processing units, the development and application of physical models based on all-atom simulations may now be feasible. Preliminary results from rigorous free energy calculations using all-atom simulations indicate that performance relative to implicit solvent models may be improved, but many outstanding questions remain. Here, we review the current state-of-the-art physical models for passive membrane permeability prediction and present a prospective look at promising new directions for all-atom approaches.

Indexed as

Drug DesignQuantitative Structure-Activity RelationshipCell Membrane PermeabilityHumansKineticsMolecular Dynamics SimulationPharmaceutical PreparationsSmall Molecule LibrariesSolventsThermodynamicsPharmaceutical PreparationsSmall Molecule LibrariesSolvents

Identifiers

PMID23066853
PMCPMC3527668

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.