Drug repurposing opportunities across 92 CNS-related conditions using deep learning and whole-genome sequencing
Yichuan Liu, Hui-Qi Qu, Frank D Mentch, Xiao Chang, Jihoon Kim, Haijun Qiu, Kayleigh Ostberg, Kenny Nguyen, Joseph Glessner, Hakon Hakonarson · 2026
Read Drug repurposing opportunities across 92 CNS-related conditions using deep learning and whole-genome sequencing by Yichuan Liu, Hui-Qi Qu, Frank D Mentch, Xiao Chang, Jihoon Kim, Haijun Qiu, Kayleigh Ostberg, Kenny Nguyen, Joseph Glessner, Hakon Hakonarson (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/PMC13430166.txt.
Description
Yichuan Liu and colleagues mine, in a 2026 study, whole-genome data to find old drugs that might treat brain and nerve conditions. Developing new drugs for the 92 central nervous system conditions covered here is slow and failure-prone. The team gathered genome sequences from 4,392 people across those diagnoses and ranked which biological pathways each condition stresses. They also cataloged 213 approved or late-stage drugs by the pathways each one touches.
Matching drugs to diseases by shared pathways produced over 12,000 candidate pairs. Filtering for genetic support, cohort size, and pathway depth left about 1,430 high-confidence pairs. Known treatment strategies resurfaced in the results, which validates the approach, alongside fresh pairings no trial has tested. Frequently implicated pathways involved growth signaling, blood vessels, immunity, and nerve support. Biomarker-guided trials are the proposed proving ground.
Catalog record
| CREATOR | Yichuan Liu, Hui-Qi Qu, Frank D Mentch, Xiao Chang, Jihoon Kim, Haijun Qiu, Kayleigh Ostberg, Kenny Nguyen, Joseph Glessner, Hakon Hakonarson |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 66 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |