Pathway Maps: Visual representations of the biochemical pathways involved in cancer.
Disease Genes: Lists of genes associated with specific cancer types.
Drug Information: Data on drugs used to treat various cancers and their mechanisms of action.
Functional Annotations: Detailed descriptions of gene functions and their roles in cancer.
Enables the identification of novel
drug targets by understanding the pathways involved in cancer.
Assists in the discovery of
biomarkers for early detection and monitoring of cancer.
Facilitates the development of
personalized therapies based on the genetic profile of individual patients.
Supports the design of
combination therapies by revealing interactions between different molecular pathways.
Not all cancer-related pathways are fully understood or documented, leading to incomplete data.
KEGG relies on existing literature and experimental data, which may not cover all aspects of cancer biology.
The database may not always be up-to-date with the latest research findings.
Despite these limitations, KEGG remains an invaluable resource for cancer researchers.
Conclusion
In conclusion, the KEGG Disease Database is a vital resource for cancer research, providing detailed information on genetic and molecular pathways involved in cancer. By leveraging the data and tools available in KEGG, researchers can advance our understanding of cancer mechanisms, identify new therapeutic targets, and develop more effective treatments.