ArticleBritish journal of clinical pharmacology2015
The potential of translational bioinformatics approaches for pharmacology research.
Article in British journal of clinical pharmacology, 2015. 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, 17 citations in OpenAlex.
- Paromomycin targets HDAC1-mediated SUMOylation and IGF1R translocation in glioblastoma.Frontiers in pharmacology · 2024Article
- Machine learning and bioinformatics-based insights into the potential targets of saponins inFrontiers in genetics · 2022Article
- Identification of Cysteine Protease Inhibitor CST2 as a Potential Biomarker for Colorectal Cancer.Journal of Cancer · 2021Article
- A New Data Repository for Pharmacokinetic Natural Product-Drug Interactions: From Chemical Characterization to Clinical Studies.Drug metabolism and disposition: the biological fate of chemicals · 2020Article
- GM604 regulates developmental neurogenesis pathways and the expression of genes associated with amyotrophic lateral sclerosis.Translational neurodegeneration · 2018Article
- Adverse drug reactions.British journal of clinical pharmacology · 2015Article
- Database: A New Article Type in CPT: Pharmacometrics & Systems Pharmacology.CPT: pharmacometrics & systems pharmacology · 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
1 author at 1 institution in 1 country.
Funding
Abstract
The field of bioinformatics has allowed the interpretation of massive amounts of biological data, ushering in the era of 'omics' to biomedical research. Its potential impact on pharmacology research is enormous and it has shown some emerging successes. A full realization of this potential, however, requires standardized data annotation for large health record databases and molecular data resources. Improved standardization will further stimulate the development of system pharmacology models, using translational bioinformatics methods. This new translational bioinformatics paradigm is highly complementary to current pharmacological research fields, such as personalized medicine, pharmacoepidemiology and drug discovery. In this review, I illustrate the application of transformational bioinformatics to research in numerous pharmacology subdisciplines.
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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 Socratic graph.