Prediction of Drugs Target Groups Based on ChEBI Ontology

Prediction of Drugs Target Groups Based on ChEBI Ontology

Most drugs have beneficial as well as adverse effects and exert their biological functions by adjusting and altering the functions of their target proteins. Thus, knowledge of drugs target proteins is essential for the improvement of therapeutic effects and mitigation of undesirable side effects. In the study, we proposed a novel prediction method based on drug/compound ontology information ext...

ChEBI: a chemistry ontology and database

The bioinformatics community has developed a policy of open access and open data since its inception. This is contrary to chemoinformatics which has traditionally been a closed-access area. In 2004, two complementary open access databases were initiated by the bioinformatics community, ChEBI [1] and PubChem. PubChem serves as automated repository on the biological activities of small molecules ...

Modular Extensions to the ChEBI Ontology

ChEBI is an ontology of chemical entities of biological interest. It includes a structure-based and a role-based classification of chemical entities including molecules, ions and salts. This poster showcases recent developments and forthcoming enhancements to the ontology, focusing on modular extensions of the content. These extensions are being developed in support of error detection and consi...

Recent Developments in the ChEBI Ontology

Identifying Chemical Entities based on ChEBI

This software demonstration paper presents Identifying Chemical Entities (ICE), a platform composed by algorithms for chemical entity recognition, entity resolution to a reference database, namely ChEBI, and validation using chemical semantic similarity. It aims to provide the users with an improved display of entity recognition results, exposing outliers which are possible recognition errors a...