SelfTrans-Ensemble, a transformer-based ensemble that combines ProtBert/RNA-FM embeddings with structural features, reports 88.0% accuracy for aptamer-protein interaction prediction, but its evaluation relies on synthetic negatives and lacks external validation.
This process generated combinatorial feature vectors based on the K -mer frequencies of both inputs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.BM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Aptamer-protein interaction prediction model based on transformer
SelfTrans-Ensemble, a transformer-based ensemble that combines ProtBert/RNA-FM embeddings with structural features, reports 88.0% accuracy for aptamer-protein interaction prediction, but its evaluation relies on synthetic negatives and lacks external validation.