ReviewDrug discovery today2011
Empowering industrial research with shared biomedical vocabularies.
Review in Drug discovery today, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Effects of guideline-based training on the quality of formal ontologies: a randomized controlled trial.PloS one · 2013Trial
- The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.International journal of molecular sciences · 2014Article
- Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).Journal of biomolecular screening · 2014Article
- Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.Drug discovery today · 2014Review
- SARConnect: A Tool to Interrogate the Connectivity Between Proteins, Chemical Structures and Activity Data.Molecular informatics · 2012Article
- On the evolving portfolio of community-standards and data sharing policies: turning challenges into new opportunities.GigaScience · 2012Article
- Structure-based classification and ontology in chemistry.Journal of cheminformatics · 2012Article
- Toward interoperable bioscience data.Nature genetics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
The life science industries (including pharmaceuticals, agrochemicals and consumer goods) are exploring new business models for research and development that focus on external partnerships. In parallel, there is a desire to make better use of data obtained from sources such as human clinical samples to inform and support early research programmes. Success in both areas depends upon the successful integration of heterogeneous data from multiple providers and scientific domains, something that is already a major challenge within the industry. This issue is exacerbated by the absence of agreed standards that unambiguously identify the entities, processes and observations within experimental results. In this article we highlight the risks to future productivity that are associated with incomplete biological and chemical vocabularies and suggest a new model to address this long-standing issue.
Indexed as
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.