BAN-SDBPred: Improving Single-Stranded and Double-Stranded DNA-Binding Protein Prediction Using an Attention Network with Bilinear Convolution and Adaptive Sampling Strategy
Kamran Arshad, Muhammad Arif, Apilak Worachartcheewan, Dong-Jun Yu · 2026
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Description
Kamran Arshad, Muhammad Arif, Apilak Worachartcheewan, and Dong-Jun Yu present BAN-SDBPred, a predictor that sorts DNA binding proteins into single strand and double strand binders. These proteins run key cell jobs, and lab tests to type them are slow and costly. The study came out in twenty twenty-six.
The method reads traits from two large protein language models plus a trait set built from pair energy patterns in the sequence. A sampling plan fixes the lopsided class counts. A bilinear attention network then makes the call. The authors say it beats other deep models on this task, which can aid drug search work that needs these proteins typed fast.
Catalog record
| CREATOR | Kamran Arshad, Muhammad Arif, Apilak Worachartcheewan, Dong-Jun Yu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 81 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |