Evidence map›Paper›PMID 22777295›Full record

ArticlePharmaceutical research2012

Prediction of the vitreal half-life of small molecular drug-like compounds.

Heidi Kidron, Eva M Del Amo, Kati-Sisko Vellonen, Arto Urtti

Abstract read
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Article in Pharmaceutical research, 2012. 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. Article
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  3. Review
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  5. Review
  6. 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

4 authors.

Heidi KidronCentre for Drug Research, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FIN-00014 Helsinki, Finland. heidi.kidron@helsinki.fi
Eva M Del Amo
Kati-Sisko Vellonen
Arto Urtti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo build a fast, user-friendly computational model to predict the intravitreal half-lives of drug-like compounds.

methodsWe used multivariate analysis to build intravitreal half-life models using two data sets, one with experimental data derived from both pigmented and albino rabbits and another including only data from experiments with albino rabbits.

resultsThe final models had a Q(2) value of 0.65 and 0.75 for the mixed and albino rabbit models, respectively. The models performed well in predicting the intravitreal half-life of an external test set. In addition, the models are physiologically interpretable, containing mainly hydrogen bonding and lipophilicity descriptors.

conclusionThe developed models enable reliable predictions of intravitreal half-lives for use in the early drug development stages, without the need for prior experimental data.

Indexed as

AnimalsBlood-Retinal BarrierComputer SimulationHalf-LifeHydrogen BondingIntravitreal InjectionsModels, BiologicalMultivariate AnalysisPharmaceutical PreparationsRabbitsVitreous BodyPharmaceutical Preparations

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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.