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Biochemistry and Molecular Biology Education
Article . 2006 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Databases of metabolic pathways

Authors: Vladimir A, Likić;

Databases of metabolic pathways

Abstract

AbstractStudies of metabolism usually evoke memories of densely written wall charts of metabolic pathways of enormous complexity, such as the IUBMB‐Nicholson metabolic pathways map or the Roche metabolic pathways wall chart. Advances in bioinformatics in the past decade have brought about a revolution in the way the information in metabolic pathways is viewed and managed. Today, metabolic pathways are stored in knowledge bases that can be queried, modified, copied, and extended with ease, precision, and speed. Moreover, the flexibility of the digital medium for the presentation of metabolic pathways surpasses the traditional printed form used in classical pathway maps. In digital presentations, the separation of the content from the visual presentation is the norm, implying that metabolic pathway maps can be generated dynamically from the information stored in the knowledge base. The most advanced metabolic pathways databases are freely available over the Internet, and this has important implications for modern studies of metabolic pathways in biochemistry and molecular biology. This study reviews two such databases: the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the BioCyc collection of pathway/genome databases. The background information and the structure of these databases are presented, with the emphasis on BioCyc, which represents a global multicollaborative effort to unify the representation of metabolic pathways.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
bronze