A Cancer Biotherapy Resource
Preety Priya, Vicente M. Reyes

TL;DR
This paper introduces a comprehensive, publicly accessible database for cancer biotherapy regimens, aiming to improve information availability for patients and researchers by curating detailed data on various treatment types and linking to related biological databases.
Contribution
It presents a new, curated, and detailed database for cancer biotherapy regimens, integrating diverse data attributes and linking to other biological resources to support research and patient information.
Findings
Database includes major biotherapy regimens with detailed attributes
Links to structural proteomics, metabolomics, and other databases
Accessible to both patients and researchers with regular updates
Abstract
Cancer Biotherapy (CB), as opposed to cancer chemotherapy, is the use of macromolecular, biological agents instead of organic chemicals or drugs to treat cancer. Biological agents usually have higher selectivity and have less toxic side effects than chemical agents. The I.S.B.T.C., being the only major information database for CB, seems lacking in some crucial information on various cancer biotherapy regimens. It is thus necessary to have a comprehensive curated CB database. The database accessible to cancer patients and also should be a sounding board for scientific ideas by cancer researchers. The database/web server has information about main families of cancer biotherapy regimens to date, namely, Protein Kinase Inhibitors, Ras Pathway Inhibitors, Cell-Cycle Active Agents, MAbs (monoclonal antibodies), ADEPT (Antibody-Directed Enzyme Pro-Drug Therapy), Cytokines, Anti-Angiogenesis…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCancer Research and Treatments · Colorectal Cancer Treatments and Studies · Cancer Genomics and Diagnostics
