Evidence map›Paper›PMID 16550471›Full record

ArticlePharmaceutical research2006

Application of SPLINDID, a semiparametric, model-based method for pharmacogenomic modeling of mRNA dynamics.

Kavitha Bhasi, Alan Forrest, Murali Ramanathan

Abstract read
In one paragraph

Article in Pharmaceutical research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kavitha BhasiDepartment of Pharmaceutical Sciences, State University of New York at Buffalo, 543 Cooke Hall, Buffalo, New York 14260-1200, USA.
Alan Forrest
Murali Ramanathan

Funding

Computational Approaches to Disease Causes and TreatmentP20GM067650 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ZHANG, AIDONG · 2003 to 2005
$1.2M
NIGMS NIH HHS P20 GM067650NIGMS NIH HHS P20-GM 067650
6 · The paper itself

Abstract

purposeThis study was conducted to evaluate the applicability of SPLINDID, a semiparametric, model-based approach for obtaining transcription rates from the pharmacodynamics of mRNA expression.

methodsA nonparametric exponential cubic spline function was used to obtain the transcription rate profile and the dynamics of mRNA expression was fitted using compartmental approaches. The transcription rate profile and mRNA degradation parameter was estimated using maximum likelihood method of ADAPT II software.

resultsData sets containing noise for mRNA levels were simulated for four diverse pharmaceutically relevant conditions: receptor nonlinearity, a model in which the variant mRNAs differing in mRNA degradation constants were transcribed and for a minimal model of the cell cycle. SPLINDID was able to fit the data sets and accurately recapitulate the transcription rate profiles normalized to the mRNA degradation rate constants. The model was also challenged using experimental data containing time profiles of cell-cycle-regulated genes.

conclusionsThe SPLINDID approach is flexible in capturing complicated/complex mRNA profiles that are encountered in many experimental data sets.

Indexed as

Models, GeneticModels, StatisticalAlgorithmsCell CycleKineticsNonlinear DynamicsPharmacogeneticsRNA, MessengerSignal TransductionTranscription, GeneticRNA, Messenger

Identifiers

PMID16550471
PMCPMC2575693

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.