Integrative multi-omics analysis of druggable genes for therapeutic target identification in polycystic ovary syndrome
Dan Xu, Dan Jia, Xiaohui Fang, Wansu Chen, Ying Liu, Qingxia Song, Xiudao Song · 2025
Read Integrative multi-omics analysis of druggable genes for therapeutic target identification in polycystic ovary syndrome by Dan Xu, Dan Jia, Xiaohui Fang, Wansu Chen, Ying Liu, Qingxia Song, Xiudao Song (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-12699805.txt.
Description
Dan Xu and a team of co-authors mine gene data for drug targets in polycystic ovary syndrome, in a paper dated twenty twenty-five. The common hormone disorder lacks targeted therapies. Their computer-only workflow screened 2,888 druggable genes with genetic causal tests.
Seven genes passed strict checks: four raised risk and three lowered it. One gene, NRBP1, showed the strongest confirmed link. Tissue checks spanned ovary, uterus, and blood, and cell maps charted the ovarian setting. Docking tests then matched candidate drugs to the gene products, setting up lab work to follow.
Catalog record
| CREATOR | Dan Xu, Dan Jia, Xiaohui Fang, Wansu Chen, Ying Liu, Qingxia Song, Xiudao Song |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |