From molecular activities and processes to biological function
Autor: | Shoshana J. Wodak, Matthew D. Eldridge, Renato Mancuso, Jacques van Helden, Avi Naim, Christian Lemer |
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Přispěvatelé: | Spinelli, Lionel, Université libre de Bruxelles (ULB) |
Jazyk: | angličtina |
Rok vydání: | 2001 |
Předmět: |
Databases
Factual [SDV]Life Sciences [q-bio] Biology computer.software_genre Machine learning Models Biological 03 medical and health sciences 0302 clinical medicine Animals Humans Molecular Biology ComputingMilieux_MISCELLANEOUS 030304 developmental biology [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM] Flexibility (engineering) 0303 health sciences business.industry Computational Biology Classification Key features [SDV] Life Sciences [q-bio] Metabolism Data model Artificial intelligence Data mining [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] business computer 030217 neurology & neurosurgery Information Systems |
Zdroj: | Briefings in Bioinformatics Briefings in Bioinformatics, Oxford University Press (OUP), 2001, 2 (1), pp.81--93 |
ISSN: | 1467-5463 1477-4054 |
Popis: | This paper describes how biological function can be represented in terms of molecular activities and processes. It presents several key features of a data model that is based on a conceptual description of the network of interactions between molecular entities within the cell and between cells. This model is implemented in the aMAZE database that presently deals with information on metabolic pathways, gene regulation, sub- or supracellular locations, and transport. It is shown that this model constitutes a useful generalisation of data representations currently implemented in metabolic pathway databases, and that it can furthermore include multiple schemes for categorising and classifying molecular entities, activities, processes and localisations. In particular, we highlight the flexibility offered by our system in representing multiple molecular activities and their control, in viewing biological function at different levels of resolution and in updating this view as our knowledge evolves. |
Databáze: | OpenAIRE |
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