Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generation
Yazhou Wang, Xiaomin Wang, Tingting Liu, Chao Wang, Qingshuo Meng, Fanye Meng, Jiaojiao Yu, Jinxin Liu, Yaya Fan, David Gennert, Frank W Pun, Alex Aliper, Feng Ren, Man Zhang, Xin Cai, Xiao Ding, Alex Zhavoronkov · 2025
Read Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generation by Yazhou Wang, Xiaomin Wang, Tingting Liu, Chao Wang, Qingshuo Meng, Fanye Meng, Jiaojiao Yu, Jinxin Liu, Yaya Fan, David Gennert, Frank W Pun, Alex Aliper, Feng Ren, Man Zhang, Xin Cai, Xiao Ding, Alex Zhavoronkov (2025) 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-12663101.txt.
Description
Yazhou Wang and co-authors let AI design a cancer protein degrader in two thousand twenty-five. The target kinase helps some tumors survive. It pairs lethally with common cancer mutations. Blockers exist but lack variety and selectivity. Their platform generated a fresh blocker design. Linking it to a cell disposal tag made a degrader.
The lead molecule both blocks and destroys the kinase. Cancer cells died at strong potency in tests. Selectivity beat the parent blocker clearly. Oral dosing worked in animal studies. Tumors shrank under the single drug alone. AI generation supplied the novel chemistry fast. The work showcases degrader design by machine.
Catalog record
| CREATOR | Yazhou Wang, Xiaomin Wang, Tingting Liu, Chao Wang, Qingshuo Meng, Fanye Meng, Jiaojiao Yu, Jinxin Liu, Yaya Fan, David Gennert, Frank W Pun, Alex Aliper, Feng Ren, Man Zhang, Xin Cai, Xiao Ding, Alex Zhavoronkov |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 87 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |