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...
में बचाया:
| मुख्य लेखकों: | , , , , , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
MDPI AG
2025-12-01
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| श्रृंखला: | Foods |
| विषय: | |
| ऑनलाइन पहुंच: | https://www.mdpi.com/2304-8158/14/23/4143 |
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