WheatRPred: deep learning framework for predicting disease resistance protein in wheat and its wild relatives
Bharati Pandey, Manbir Singh, Awdhesh Kumar Mishra · 2026
Read WheatRPred: deep learning framework for predicting disease resistance protein in wheat and its wild relatives by Bharati Pandey, Manbir Singh, Awdhesh Kumar Mishra (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-13158710.txt.
Description
Bharati Pandey, Manbir Singh, and Awdhesh Mishra build a web tool that predicts disease defense proteins in wheat, in work from 2026. Wheat feeds much of the world, and fungal and other diseases threaten harvests yearly. Finding defense genes by lab work alone is slow and costly.
Their tool, called WheatRPred, mixes three deep learning designs to read protein sequences. Each design catches a different pattern type, from local shapes to long-range links. On checked data the tool scored 95 to 97 percent correct. Users paste a sequence and get a defense or non-defense call with a confidence score. Breeders can use the calls to pick lines worth testing in the field.
Catalog record
| CREATOR | Bharati Pandey, Manbir Singh, Awdhesh Kumar Mishra |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |