Bioinformatic pipeline to identify potential therapeutic targets with subsequent isolation and characterization of novel human anti- DDR1 antibodies
Divya Agrawal, Stephen M. Mahler, Anurag S. Rathore, Martina L. Jones, Jessica C. Mar, Lucía F. Zacchi · 2026
Read Bioinformatic pipeline to identify potential therapeutic targets with subsequent isolation and characterization of novel human anti- DDR1 antibodies by Divya Agrawal, Stephen M. Mahler, Anurag S. Rathore, Martina L. Jones, Jessica C. Mar, Lucía F. Zacchi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13518920.txt.
Description
Divya Agrawal and co-authors present a study the catalog lists under 2026. Breast cancer care needs safer, sharper drug targets. The team built a data pipeline to find targets from tumor data. They compared tumor tissue with matched healthy breast tissue from a large cancer atlas. Filters favored surface proteins that drugs can reach. A known marker ranked high, which supports the pipeline's soundness.
From the short list, the team picked one receptor target for lab work. They isolated new human antibodies against it and characterized them. The arc runs from computer screen to bench-made antibodies in one study. Drug teams get both a target list and a first antibody set. Surface targets matter because antibodies cannot reach inside cells. The pipeline can be rerun on other cancers, which gives the work value past breast cancer alone.
Catalog record
| CREATOR | Divya Agrawal, Stephen M. Mahler, Anurag S. Rathore, Martina L. Jones, Jessica C. Mar, Lucía F. Zacchi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 134 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |