NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides

NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides

Abstract Background Accurate identification of anti-inflammatory peptides (AIPs) is crucial for drug development and inflammatory disease treatment. However, the short length and limited informational content of peptide sequences make precise computational recognition particularly challenging. While...

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Bibliographic Details
Main Authors: Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Biology
Subjects:
Machine learning
Deep learning
Bioinformatics
Anti-inflammatory peptide
Online Access:https://doi.org/10.1186/s12915-025-02314-8
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https://doi.org/10.1186/s12915-025-02314-8

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