ChEBI, an Open-access Chemistry Resource for the Life Sciences: Facilities for On-line Submission and Curation

ChEBI (Chemical Entities of Biological Interest) is a database of ‘small’ molecular entities structured around a chemical ontology. It contains almost 600,000 entries, of which approximately 20,000 have been manually curated, as well as entries for groups (parts of molecular entities) and classes of entities. It provides a wide range of information such as chemical nomenclature, structures and related chemical values, and establishes interrelationships between entities in the ontology, in terms of both structure and role. ChEBI places a strong focus on quality, with exceptional efforts being applied to upholding IUPAC nomenclature recommendations and best IUPAC practices when drawing chemical structures. 

To invite the community to participate more directly in the future growth and development of ChEBI, we have developed a web-based software utility to enable direct user submissions. Users are encouraged to carry out as much of their own manual curation as possible, e.g. by adding multiple synonyms and database cross-references, and by creating multiple relationships within the ontology. The submissions are automatically validated for uniqueness (both of name and chemical structure) and correctness (such as checking that no non-allowed cycles have inadvertently been created in the ontology graph structure, and that the ontology relationships which have been specified are allowed between entities of the relevant types). Once a submission has passed the required validations, it is submitted to the ChEBI database, at which time it receives its unique ChEBI identifier. It will then become visible to the public (as a preliminary entry) as part of the monthly ChEBI release. To date, ChEBI has received over 750 such external submissions.
&#xa

Epitopes in ChEBI - A Collaboration with the IEDB

*ChEBI background:* Chemical Entities of Biological Interest (ChEBI) is a curated database of small chemical entities important in biosystems. As well as a description of entities, it provides a semantically rich knowledge base; and an internal hierarchy that organises the entities by their molecular structure types and potential rôles.

*The ChEBI-IEDB collaboration:* The Immune Epitope and Analysis Resource (IEDB) is a project supported by contract from the National Institute of Allergy and Infectious Diseases (NIAID). Its goal is to make epitope-related data on infectious diseases and immune disorders freely available to researchers worldwide. In June 2009, ChEBI began working with the IEDB on a project aimed at incorporating into ChEBI, by manual curation, a pilot subset of immunologically important chemicals identified as immune epitopes.

*The significance of the project:* Numerous reports attest to an increasing global prevalence of immune-related diseases, with a multiplicity of contributing factors. This situation underscores the need for cross-talk among the various scientific disciplines, and makes ChEBI involvement in this project particularly relevant. 

*Collaboration outcome:* That collaboration among curators working on different databases can be reciprocally beneficial has been amply demonstrated by the ChEBI-IEDB teamwork described: while the incorporated IEDB items have substantially enriched ChEBI, the latter’s multiplicity of synonyms, structure tree lay-out and expertise in describing non-peptidic epitopes have been equally useful to the IEDB in facilitating the search process.
*Status quo and plans:* We continue to refine our task of assisting the identification, understanding and utilisation of biologically meaningful chemical entities by engaging in further joint projects

OntoQuery: easy-to-use web-based OWL querying

Summary: The Web Ontology Language (OWL) provides a sophisticated language for building complex domain ontologies and is widely used in bio-ontologies such as the Gene Ontology. The Protégé-OWL ontology editing tool provides a query facility that allows composition and execution of queries with the human-readable Manchester OWL syntax, with syntax checking and entity label lookup. No equivalent query facility such as the Protégé Description Logics (DL) query yet exists in web form. However, many users interact with bio-ontologies such as chemical entities of biological interest and the Gene Ontology using their online Web sites, within which DL-based querying functionality is not available. To address this gap, we introduce the OntoQuery web-based query utility. Availability and implementation: The source code for this implementation together with instructions for installation is available at http://github.com/IlincaTudose/OntoQuery. OntoQuery software is fully compatible with all OWL-based ontologies and is available for download (CC-0 license). The ChEBI installation, ChEBI OntoQuery, is available at http://www.ebi.ac.uk/chebi/tools/ontoquery. Contact: [email protected]

The influence of aryl-aryl interactions in the photochemistry of some 1,3-Diarylpropanes

The irradiation of 1,3-diarylpropanols in acidic methanol results in their conversion to the corresponding methyl ethers. This reaction and that of the photodechlorination of some 1,3-diarylpropanes is influenced by the presence of electron donating substituents in the aryl group remote from the reactive site

ChEBI in 2016: Improved services and an expanding collection of metabolites

ChEBI is a database and ontology containing infor-mation about chemical entities of biological inter-est. It currently includes over 46 000 entries, each of which is classified within the ontology and assigned multiple annotations including (where relevant) a chemical structure, database cross-references, syn-onyms and literature citations. All content is freely available and can be accessed online a

The FRAXA and FRAXE allele repeat size of boys from the Avon Longitudinal Study of Parents and Children (ALSPAC)

The FRAXA and FRAXE alleles of the FMR1 and FMR2 genes located on the X chromosome contain varying numbers of trinucleotide repeats. Large numbers of repeats at FRAXA (full mutations) manifest as Fragile X syndrome, associated with mental impairment that affects males more severely. In this paper, we present the dataset of frequencies of FRAXA and FRAXE repeat size extracted from DNA samples collected from boys enrolled in the Avon Longitudinal Study of Parents and Children (ALSPAC). DNA data were extracted from samples collected in ALSPAC clinics from several types of samples: cord blood, venepuncture blood taken at 43 months, 61 months, seven years or nine years. The DNA was amplified at FRAXA and FRAXE using fluorescent PCR in the Wessex Regional Genetics Laboratory, Salisbury District Hospital. The mean repeat size for FRAXA is 28.92 (S.D. 5.44), the median 30 and the range 8 to 68. There were particularly high numbers of boys with repeat sizes of 20 (10.67%) and 23 (7.35%). The mean repeat size for FRAXE is 17.41 (S.D. 3.94), with median of 16 and range of 0 to 61. There is a relatively high degree of variation of the FRAXA repeat size particularly and we suggest the extensive data available from the ALSPAC study opens up areas of research into understanding phenotypes associated with relatively unexplored repeat sizes. This could be particularly interesting for the lower repeat sizes occurring with high frequency at FRAXA in this population. As the data can be linked to exposures and phenotypes, it will provide a resource for researchers worldwide

Chemical Entities of Biological Interest: an update

Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of molecular entities focused on ‘small’ chemical compounds. The molecular entities in question are either natural products or synthetic products used to intervene in the processes of living organisms. Genome-encoded macromolecules (nucleic acids, proteins and peptides derived from proteins by cleavage) are not as a rule included in ChEBI. In addition to molecular entities, ChEBI contains groups (parts of molecular entities) and classes of entities. ChEBI includes an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. ChEBI is available online at http://www.ebi.ac.uk/chebi/. This article reports on new features in ChEBI since the last NAR report in 2007, including substructure and similarity searching, a submission tool for authoring of ChEBI datasets by the community and a 30-fold increase in the number of chemical structures stored in ChEBI

Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology.

BACKGROUND: The Gene Ontology (GO) facilitates the description of the action of gene products in a biological context. Many GO terms refer to chemical entities that participate in biological processes. To facilitate accurate and consistent systems-wide biological representation, it is necessary to integrate the chemical view of these entities with the biological view of GO functions and processes. We describe a collaborative effort between the GO and the Chemical Entities of Biological Interest (ChEBI) ontology developers to ensure that the representation of chemicals in the GO is both internally consistent and in alignment with the chemical expertise captured in ChEBI. RESULTS: We have examined and integrated the ChEBI structural hierarchy into the GO resource through computationally-assisted manual curation of both GO and ChEBI. Our work has resulted in the creation of computable definitions of GO terms that contain fully defined semantic relationships to corresponding chemical terms in ChEBI. CONCLUSIONS: The set of logical definitions using both the GO and ChEBI has already been used to automate aspects of GO development and has the potential to allow the integration of data across the domains of biology and chemistry. These logical definitions are available as an extended version of the ontology from http://purl.obolibrary.org/obo/go/extensions/go-plus.owl