Evidence map›Paper›PMID 26656568›Full record

ArticleBioinformatics (Oxford, England)2016

Prediction of the permeability of neutral drugs inferred from their solvation properties.

Edoardo Milanetti, Domenico Raimondo, Anna Tramontano

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Manuscript DMD-D-25-00346 The impact of glycocalyx on partitioning and distribution of basic drugs.Drug metabolism and disposition: the biological fate of chemicals · 2026
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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.

Edoardo MilanettiDepartment of Physics, Sapienza Università di Roma, Rome 00185, Italy.
Domenico RaimondoDepartment of Physics, Sapienza Università di Roma, Rome 00185, Italy.
Anna TramontanoDepartment of Physics, Sapienza Università di Roma, Rome 00185, Italy Institute Pasteur - Fondazione Cenci Bolognetti, Rome, 00161, Italy Center for Life Nano Science @Sapienza, Istituto Italiano di Tecnologia, Sapienza Università di Roma, Rome, 00185, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDetermination of drug absorption is an important component of the drug discovery and development process in that it plays a key role in the decision to promote drug candidates to clinical trials. We have developed a method that, on the basis of an analysis of the dynamic distribution of water molecules around a compound obtained by molecular dynamics simulations, can compute a parameter-free value that correlates very well with the compound permeability measured using the human colon adenocarcinoma (Caco-2) cell line assay.

resultsThe method has been tested on twenty-three neutral drugs for which a consistent set of experimental data is available. We show here that our method reproduces the experimental data better than other existing tools. Furthermore it provides a detailed view of the relationship between the hydration and the permeability properties of molecules. CONTACT: anna.tramontano@uniroma1.it SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsDrug DiscoveryCaco-2 CellsHumansPermeabilityStructure-Activity RelationshipWaterWater

Identifiers

PMID26656568
PMCPMC4824127

What OpenQuestion holds

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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.