Abstract | ||
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In the beginning, one of the main fields of application of graph transformation was biology, and more specifically morphology. Later, however, it was like if the biological applications had been left aside by the graph transformation community, just to be moved back into the mainstream these very last years with a new interest in molecular biology. In this paper, we review several fields of application of graph grammars in molecular biology, including: the modelling of higher-dimensional structures of biomolecules, the description of biochemical reactions, and the study of biochemical pathways. |
Year | DOI | Venue |
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2005 | 10.1007/978-3-540-31847-7_7 | Formal Methods in Software and Systems Modeling |
Keywords | Field | DocType |
last year,biochemical pathway,graph transformation community,main field,graph grammar,higher-dimensional structure,biological application,graph transformation,molecular biology,biochemical reaction,computational systems biology,metabolic pathway | Rule-based machine translation,Graph,Computer science,Theoretical computer science,Biochemical reactions,Graph rewriting,Molecular biology | Conference |
Volume | ISSN | ISBN |
3393 | 0302-9743 | 3-540-24936-2 |
Citations | PageRank | References |
11 | 0.77 | 25 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francesc Rosselló | 1 | 244 | 29.09 |
Gabriel Valiente | 2 | 742 | 63.30 |