Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 LIGAND: chemical database of enzyme reactions.

Literature DB >> 10592281

LIGAND: chemical database of enzyme reactions.

Abstract

LIGAND is a composite database comprising three sections: ENZYME for the information of enzyme molecules and enzymatic reactions, COMPOUND for the information of metabolites and other chemical compounds, and REACTION for the collection of substrate-product relations. The current release includes 3390 enzymes, 5645 compounds and 5207 reactions. The database is indispensable for the reconstruction of metabolic pathways in the completely sequenced organisms. The LIGAND database can be accessed through the WWW (http://www.genome.ad.jp/dbget/ligand.html ) or may be downloaded by anonymous FTP (ftp://kegg.genome.ad.jp/molecules/ligand/ ).

Mesh：

Substances：
Enzymes
Ligands

Year: 2000 PMID： 10592281 PMCID： PMC102410 DOI： 10.1093/nar/28.1.380

Source DB: PubMed Journal: Nucleic Acids Res ISSN： 0305-1048 Impact factor: 16.971

10 in total

1. KEGG: kyoto encyclopedia of genes and genomes.

Authors: M Kanehisa; S Goto
Journal: Nucleic Acids Res Date: 2000-01-01 Impact factor: 16.971

2. LIGAND: chemical database for enzyme reactions.

Authors: S Goto; T Nishioka; M Kanehisa
Journal: Bioinformatics Date: 1998 Impact factor: 6.937

3. PROMISE: a database of bioinorganic motifs.

Authors: K N Degtyarenko; A C North; J B Findlay
Journal: Nucleic Acids Res Date: 1999-01-01 Impact factor: 16.971

4. The PROSITE database, its status in 1999.

Authors: K Hofmann; P Bucher; L Falquet; A Bairoch
Journal: Nucleic Acids Res Date: 1999-01-01 Impact factor: 16.971

5. The PIR-International Protein Sequence Database.

Authors: W C Barker; J S Garavelli; P B McGarvey; C R Marzec; B C Orcutt; G Y Srinivasarao; L S Yeh; R S Ledley; H W Mewes; F Pfeiffer; A Tsugita; C Wu
Journal: Nucleic Acids Res Date: 1999-01-01 Impact factor: 16.971

6. DBGET/LinkDB: an integrated database retrieval system.

Authors: W Fujibuchi; S Goto; H Migimatsu; I Uchiyama; A Ogiwara; Y Akiyama; M Kanehisa
Journal: Pac Symp Biocomput Date: 1998

Review 7. Linking databases and organisms: GenomeNet resources in Japan.

Authors: M Kanehisa
Journal: Trends Biochem Sci Date: 1997-11 Impact factor: 13.807

8. The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors: F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal: J Mol Biol Date: 1977-05-25 Impact factor: 5.469

9. A database for post-genome analysis.

Authors: M Kanehisa
Journal: Trends Genet Date: 1997-09 Impact factor: 11.639

10. The status of online Mendelian inheritance in man (OMIM) medio 1994.

Authors: P Pearson; C Francomano; P Foster; C Bocchini; P Li; V McKusick
Journal: Nucleic Acids Res Date: 1994-09 Impact factor: 16.971

10 in total

18 in total

LIGAND: chemical database of enzyme reactions.

1. KEGG: kyoto encyclopedia of genes and genomes.

2. LIGAND: chemical database for enzyme reactions.

3. PROMISE: a database of bioinorganic motifs.

4. The PROSITE database, its status in 1999.

5. The PIR-International Protein Sequence Database.

6. DBGET/LinkDB: an integrated database retrieval system.

Review 7. Linking databases and organisms: GenomeNet resources in Japan.

8. The Protein Data Bank: a computer-based archival file for macromolecular structures.

9. A database for post-genome analysis.

10. The status of online Mendelian inheritance in man (OMIM) medio 1994.

1. KEGG: kyoto encyclopedia of genes and genomes.

2. A heuristic graph comparison algorithm and its application to detect functionally related enzyme clusters.

3. Finding evolutionary relations beyond superfamilies: fold-based superfamilies.

4. Superessential reactions in metabolic networks.

Review 5. A cheminformatic toolkit for mining biomedical knowledge.

6. A latent capacity for evolutionary innovation through exaptation in metabolic systems.

7. Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic Systems.

8. Phenotypic innovation through recombination in genome-scale metabolic networks.

Review 9. Systems metabolic engineering: genome-scale models and beyond.

10. Multi-species integrative biclustering.