Sarfaraz Nasri Department of bioinformatics and Biotechnology

1. SARFARAZ NASRI GC UNIVERSITY FAISALABAD
SARFRAZ1412@GMAIL.COM

2. Presented to:
Dr. Rizwan
Department of Bioinformatics & Biotechnology
Gcuf

3. INTRODUCTION:
Kyoto Encyclopedia of Genes and Genomes(KEGG):
“It is a collection of online databases dealing with genomes,
enzymatic pathways, and biological chemicals.”
• Pathway database
• Record networks of molecule interaction

4. • Computerize current knowledge of biological systems & provide
consistent annotations.
• Maintain gene catalogs for sequenced genomes.
• Maintain catalogs of chemical reactions in living cells by
LIGAND.
• Provide new informatics technologies toward predicting
biological systems and designing further expriments.
OBJECTIVES:

5. DATABASE OF KEGG
KEGG maintain 6 main databases:
 KEGG Pathway(Atlas)
 KEGG Genes
 KEGG Genome
 KEGG Ligand
 KEGG BRITE
 KEGG Cancer

6. KEGG PATHWAY
“KEGG PATHWAY is a collection of manually drawn pathway
maps representing our knowledge on the molecular
interaction and reaction networks for:”
 Metabolism
 Genetic Information Processing
 Environmental Information Processing
 Cellular Processes
 Organismal Systems
 Human Diseases
 Drug Development

7. KEGG: METABOLIC
PATHWAY

8. KEGG GENES:
Collection of gene
catalogs for all complete
genomes
Four types:
 MGENES (Meta
Genomes)
 VGENES (Viral
Genome)
 DGENES (Draft
Genome)
 EGENES (EST datasets)

9. KEGG GENOME
Collection of KEGG
organisms which are
the organisms with
known complete
genome sequence.

10. KEGG LIGAND:

11. KEGG BRITE:
Collection of manually
created hierarchical text files
capturing functional
hierarchies of various of
biological objects, especially
those represented as kegg
object.

12. KEGG CANCER:

13. Applications:
 Use to detect functionally related enzyme clusters.
 Automatic detection of conserved gene clusters in
multiple genomes by graph comparison.
 Modeling & Stimulation
 Browsing and retrieval of data

14. CONCLUSION:
The Kyoto Encyclopedia of Genes and Genomes is a
vast library of information gathered from fully
sequenced genomes, genes, proteins, pathways, and
chemical compounds pertaining to over a hundred
different species of both prokaryotes and eukaryotes.