In the latest 6.5 release of VOCabs, we have added the following new vocabularies.
CHEBICHEM is a comprehensive dictionary of small molecules and there abbreviations that have multiple applications across clinical and manufacturing semantic search, data analytics and pharmacovigilance. Analysts can use this vocabulary to identify reactants and products from a range of sources from journals to patent experimentals, analyse drug metabolism and pharmacokinetic data, or chemical properties within Chemistry, Manufacturing and Controls (CMC) regulatory submissions.
With the addition of CHEBIROLE, users can identify chemical entities by their role, for example food manufacturers can search chemical catalogues for food components (e.g. preservatives). Users have the ability to link this information to create knowledge graphs, for example researchers in biomedical R&D are able to connect compounds with their activity on a target or role to repurpose drugs or identify potential adverse events.
Biological pathways that describe cellular processes, including metabolism, signalling, transport, cell motility, and host-virus interactions to mention a few, are key in understanding diseases and their potential treatments. The addition of the PATHWAY vocabulary can be used to analyse omics data reported in sources such as journals or clinical trial reports, for example proteins identified in OAS antiviral response, or the creation of knowledge graphs to predict outcomes (e.g. identifying diseases implicated by changes to the NTRK1 signalling pathway).
This release also includes a new human microRNA (HUMIRNA) vocabulary, based on miRBase. MicroRNAs are small single-stranded non-coding RNA molecules that can be linked to many human diseases making them interesting targets for clinical diagnostics or therapeutic agents. This vocabulary includes synonym variation rules that allows for the many different ways microRNAs are written, helping researchers maximize the extraction of these entities from journals, experimental protocols, and inventory lists. For example, hsa-mir-21 could be also written as human miR-21, human miRNA-21, human mir21, mir-21 etc.
DOID, the Human Disease vocabulary is another new addition and contains inheritable, environmental, and infectious origins of human diseases. As with all our new vocabularies, the vocabulary includes corrections, synonym additions and disambiguations by SciBite. DOID can feature in multiple use cases including the creation of application ontologies as part of a “clean data” entry, for example in LIMS or ELNs, and performing semantic searches of clinical literature, company websites, press releases etc. for drug repurposing or competitor analysis, where users scan extensive lists of human disease terms.
The SNOMED vocabulary, which previously covered only Diseases, has now been expanded to include Procedures and Findings. For convenience, we have created a vocabulary for each of these branches (SNOMEDDIS, SNOMEDPROC, SNOMEDFIND), however the SNOMED vocabulary, now an application vocabulary, can be used to extract entities from all three.
The LABSPECIES vocabulary consists of terminology used to describe common laboratory animals, including their Latin names and breeds. This dictionary has been designed to assist researchers analysing and comparing preclinical animal models, for example the pharmacokinetics and pharmacodynamics effects of drug candidates.
No single public ontology provides comprehensive coverage of laboratory equipment; therefore, we have created LABEQUIP, a new vocabulary for common laboratory equipment. We have incorporated classes from public ontologies such as OBI, NCIT and CHMO and, where no appropriate class exists in the public ontologies, we have supplemented these with SciBite-created classes.
In addition to the new vocabularies, we have updated over 20 vocabularies using the latest available public data, some of which are highlighted here:
SciBite’s VOCabs allows researchers to follow FAIR (Findable, Accessible, Interoperable and Reusable) principles when entering and mining context-specific data for a range of scientific search and analytic use cases.
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