Evidence map›Paper›PMID 15803397›Full record

ArticleJournal of biomolecular NMR2005

Determining the optimal size of small molecule mixtures for high throughput NMR screening.

Kelly A Mercier, Robert Powers

Abstract read
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In one paragraph

Article in Journal of biomolecular NMR, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Review
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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

2 authors.

Kelly A MercierDepartment of Chemistry, University of Nebraska Lincoln, 722 Hamilton Hall, Lincoln, NE 68522-0304, USA.
Robert Powers

Funding

STRUCTURAL GENOMICS OF EUKARYOTIC MODEL ORGANISMSP50GM062413 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2000 to 2004
$33.5M
NIGMS NIH HHS P50 GM62413
6 · The paper itself

Abstract

High-throughput screening (HTS) using NMR spectroscopy has become a common component of the drug discovery effort and is widely used throughout the pharmaceutical industry. NMR provides additional information about the nature of small molecule-protein interactions compared to traditional HTS methods. In order to achieve comparable efficiency, small molecules are often screened as mixtures in NMR-based assays. Nevertheless, an analysis of the efficiency of mixtures and a corresponding determination of the optimum mixture size (OMS) that minimizes the amount of material and instrumentation time required for an NMR screen has been lacking. A model for calculating OMS based on the application of the hypergeometric distribution function to determine the probability of a "hit" for various mixture sizes and hit rates is presented. An alternative method for the deconvolution of large screening mixtures is also discussed. These methods have been applied in a high-throughput NMR screening assay using a small, directed library.

Indexed as

Drug DesignModels, ChemicalChemistry, PharmaceuticalCold TemperatureDrug StabilityHydrogen-Ion ConcentrationMagnetic Resonance SpectroscopyPharmaceutical PreparationsPredictive Value of TestsProtonsSolubilityStructure-Activity RelationshipPharmaceutical PreparationsProtons

Identifiers

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.