CancerSPP: Prediction and Analysis of Skin cancer progression using Genomics Profiles of Patients

CancerSPP is a comprehensive, manually curated resource that catalogs proteins involved in various human cancer signaling pathways. The database is designed to provide a centralized platform for researchers to explore the complex molecular networks that drive oncogenesis, facilitating the identification of potential therapeutic targets and biomarkers. Web Server: http://webs.iiitd.edu.in/raghava/cancerspp/ Citation Bhalla, S., Kaur, H., Dhall, A., & Raghava, G. P. S. (2019). Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients. Scientific Reports, 9, 15790. https://doi.org/10.1038/s41598-019-52134-4 Data can be found in release section of the Github. About the Database Cancer is fundamentally a disease of altered cell signaling. CancerSPP consolidates scattered information from biomedical literature and biological repositories to provide a unified view of the proteins that govern cell growth, survival, and differentiation in the context of malignancy. Data Curation: Information is manually extracted from PubMed and integrated with data from primary repositories like UniProt and the Protein Data Bank (PDB). Focus: The database focuses on the functional role of proteins within established cancer-related pathways, such as PI3K/Akt, MAPK, and p53 signaling.