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| Hong Sang Low; Christopher J. O. Baker; Alex Garcia; Markus R. Wenk. |
| Lipids can be systematically classified according to functional properties, structural features, biochemical origin or biological system. However Lipid nomenclature has yet to become a robust research tool since no rigorous definitions exist for membership of specific lipid classes. Lipids need to be defined in a manner that is systematic yet at the same time semantically explicit. We report on the reuse of existing lipid nomenclature, ontology describing chemical structure and the extension of the OWL-DL Lipid Ontology to support the classification of lipid molecules. We applied definitions, DL-axioms, to describe lipids classes and illustrate suitability of the ontology for the classification of Fatty Acyl lipids and Mycolic acids. |
| Tipo: Manuscript |
Palavras-chave: Chemistry; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3542/version/1 |
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| Christopher J. O. Baker. |
| Experiments that construct or discover protein point-mutations and investigate their functional consequences represent one of the cornerstones of biomedical investigation. And yet, despite the importance of these annotations, the interpretation and reuse of knowledge about their impacts remains a formidable task. This is due to a number of reasons including (i) the publishing of salient mutation impact descriptions in unstructured text, (ii) the existence of numerous boutique databases of mutation information which can have many years of latency, and (iii) errors within manually populated mutation databases. In recent years the mining of mutations from scientific documents has emerged as a promising research theme resulting in automated methods for... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5443/version/1 |
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