Evidence map›Paper›PMID 27077032›Full record

ArticleBiomolecular detection and quantification2015

Development, validation and quantitative assessment of an enzymatic assay suitable for small molecule screening and profiling: A case-study.

Vicente Sancenon, Wei Hau Goh, Aishwarya Sundaram, Kai Shih Er, Nidhi Johal, Svetlana Mukhina, Grant Carr, Saravanakumar Dhakshinamoorthy

Abstract read
In one paragraph

Article in Biomolecular detection and quantification, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

8 authors.

Vicente SancenonAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Wei Hau GohAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Aishwarya SundaramAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Kai Shih ErAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Nidhi JohalAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Svetlana MukhinaAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Grant CarrAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.
Saravanakumar DhakshinamoorthyAlbany Molecular Research Singapore Research Centre, Pte Ltd, The Galen #05-01, 61 Science Park Road, Singapore 117525, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The successful discovery and subsequent development of small molecule inhibitors of drug targets relies on the establishment of robust, cost-effective, quantitative, and physiologically relevant in vitro assays that can support prolonged screening and optimization campaigns. The current study illustrates the process of developing and validating an enzymatic assay for the discovery of small molecule inhibitors using alkaline phosphatase from bovine intestine as model target. The assay development workflow includes an initial phase of optimization of assay materials, reagents, and conditions, continues with a process of miniaturization and automation, and concludes with validation by quantitative measurement of assay performance and signal variability. The assay is further evaluated for dose-response and mechanism-of-action studies required to support structure-activity-relationship studies. Emphasis is placed on the most critical aspects of assay optimization and other relevant considerations, including the technology, assay materials, buffer constituents, reaction conditions, liquid handling equipment, analytical instrumentation, and quantitative assessments. Examples of bottlenecks encountered during assay development and strategies to address them are provided.

Indexed as

AP, alkaline phosphataseAssay developmentCV, coefficient of variationDEA, diethanolamineDiFMU, 6,8-difluoro-4-methylumbelliferoneDiFMUP, 6,8-difluoro-4-methylumbelliferyl phosphateInhibitorKM, Michaelis constantMechanism-of-actionPhosphatasepNP, p-nitrophenolpNPP, p-nitrophenol phosphateScreeningSD, standard deviationSmall moleculeVmax, maximal reaction velocityZ′, Z prime

Identifiers

PMID27077032
PMCPMC4822204

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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.