Engaging students in an AI-driven RNA drug design research project through a crowd science-infused learning approach
Kamanasish Bhattacharjee, Yusuf M. Idres, Suman Deb, Wenqing Gao, Adi Idris · 2026
Read Engaging students in an AI-driven RNA drug design research project through a crowd science-infused learning approach by Kamanasish Bhattacharjee, Yusuf M. Idres, Suman Deb, Wenqing Gao, Adi Idris (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/PMC13520648.txt.
Description
Kamanasish Bhattacharjee and colleagues describe in 2026 a five-day workshop where university students help build a real artificial intelligence tool for designing RNA antiviral drugs. Course-based research chances are rare in this fast-moving field, so students join a live project instead of a mock exercise.
Undergraduate and postgraduate students work together in a crowd-science format, with each contribution feeding an in-house deep learning platform for small interfering RNA design. No wet laboratory work is involved. Session plans, learning goals and grading approaches are laid out for teachers who want to copy the model. The authors claim a first for direct student input into such a platform.
Catalog record
| CREATOR | Kamanasish Bhattacharjee, Yusuf M. Idres, Suman Deb, Wenqing Gao, Adi Idris |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 17974 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |