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Searching for amino acid sequence motifs among enzymes: the Enzyme–Reaction Database

Authors: Mikita Suyama; A. Ogiwara; Takaaki Nishioka; J. Oda;

Searching for amino acid sequence motifs among enzymes: the Enzyme–Reaction Database

Abstract

Recently we have constructed a database--the Enzyme-Reaction Database--which links a chemical structure to amino acid sequences of enzymes that recognize the chemical structure as their ligand. The total number of enzymes registered in the database is 1103 with 6668 NBRF-PIR entry codes and 1756 chemical compounds. The chemical structures and chemical names for 842 compounds are registered in the Chemical-Structure Database on the MACCS system. For each enzyme, the sequences were divided into clusters, and multiply aligned in each cluster to extract a conserved sequence. A total of 158,781 five-residue-long fragments were constructed from 433 conserved sequences and compared among different clusters of different enzymes. One of these motifs shared by different enzymes was S-G-G-L-D. The motif was conserved in both argininosuccinate synthase (EC 6.3.4.5) and asparagine synthase (glutamine-hydrolysing) (EC 6.3.5.4). This result showed that the database was useful for the analysis of the relationship between chemical structures and amino acid sequence motifs.

Related Organizations
Keywords

Structure-Activity Relationship, Software Design, Molecular Sequence Data, Database Management Systems, Amino Acid Sequence, Sequence Alignment, Algorithms, Conserved Sequence, Enzymes

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
15
Top 10%
Top 1%
Top 10%
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