Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack-Reference-Cited by-同舟云学术

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Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack

Published:2022-09 Issue:9 Volume:25 Page:104967
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Deng Hua,Lou Chaofeng,Wu Zengrui,Li Weihua,Liu Guixia,Tang Yun^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference68 articles.

1. From IL-2 to IL-37: the expanding spectrum of anti-inflammatory cytokines;Banchereau;Nat. Immunol.,2012

2. Mitochondrial dysfunction and multiple sclerosis;Barcelos;Biology,2019

3. STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction;Basith;Brief. Bioinform.,2022

4. Classification of nuclear receptors based on amino acid composition and dipeptide composition;Bhasin;J. Biol. Chem.,2004

5. Non-steroidal anti-inflammatory drugs (NSAIDs) and organ damage: a current perspective;Bindu;Biochem. Pharmacol.,2020

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TriStack enables accurate identification of antimicrobial and anti-inflammatory peptides by combining machine learning and deep learning approaches;Future Generation Computer Systems;2024-12

2. Explainable machine learning-based fractional vegetation cover inversion and performance optimization – A case study of an alpine grassland on the Qinghai-Tibet Plateau;Ecological Informatics;2024-09

3. In Silico Prediction of ERRα Agonists Based on Combined Features and Stacking Ensemble Method;ChemMedChem;2024-08-19

4. A BERT-based approach for identifying anti-inflammatory peptides using sequence information;Heliyon;2024-06

5. Comprehensive Analysis of Computational Methods for Predicting Anti-inflammatory Peptides;Archives of Computational Methods in Engineering;2024-03-01

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