ReviewBiopharmaceutics & drug disposition2013
Toward an integrated software platform for systems pharmacology.
Review in Biopharmaceutics & drug disposition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks.NPJ systems biology and applications · 2024Article
- Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure.F1000Research · 2017Article
- HD Physiology Project-Japanese efforts to promote multilevel integrative systems biology and physiome research.NPJ systems biology and applications · 2017Article
- Quantitative Systems Pharmacology: A Framework for Context.Current pharmacology reports · 2016Article
- A semi-automated, KNIME-based workflow for biofilm assays.BMC microbiology · 2016Article
- The promises of quantitative systems pharmacology modelling for drug development.Computational and structural biotechnology journal · 2016Review
- Databases for multilevel biophysiology research available at Physiome.jp.Frontiers in physiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding complex biological systems requires the extensive support of computational tools. This is particularly true for systems pharmacology, which aims to understand the action of drugs and their interactions in a systems context. Computational models play an important role as they can be viewed as an explicit representation of biological hypotheses to be tested. A series of software and data resources are used for model development, verification and exploration of the possible behaviors of biological systems using the model that may not be possible or not cost effective by experiments. Software platforms play a dominant role in creativity and productivity support and have transformed many industries, techniques that can be applied to biology as well. Establishing an integrated software platform will be the next important step in the field.
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Identifiers
What OpenQuestion holds
Registered trials
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.