HemPepPred: Quantitative Prediction of Peptide Hemolytic Activity Based on Machine Learning and Protein Language Model–Derived Features

Accurate prediction of hemolytic peptides is essential for peptide safety evaluation and therapeutic design; however, existing models remain constrained by limited accuracy and interpretability. To overcome these challenges, we propose a regression framework that integrates embeddings from a protein...

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Hlavní autoři:	Xiang Li, Wanting Zhao, Xiao Liang, Xinlan Zhuo, Shuang Yu, Guizhao Liang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-12-01
Edice:	Foods
Témata:	hemolytic peptide ensemble learning
On-line přístup:	https://www.mdpi.com/2304-8158/14/23/4143
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