Besides, we incorporated the multi-label classifier retraining approach (MCRT) into TPpred-LE to detect the new therapeutic functions with limited labeled data. Experimental results demonstrate that TPpred-LE outperforms the other state-of-the-art methods, and TPpred-LE with MCRT is robust for ...
An overview of TPpred-LE In this study, we exploit the prediction ability of TPpred-LE on the benchmark dataset with 15 different therapeutic peptide functions, including AMP (anti-microbial peptide), TXP (toxic peptide), ABP (anti-bacterial peptide), AIP (anti-inflammatory peptide), AVP (...