A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning-Reference-Cited by-同舟云学术

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A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning

Published:2024-08-08 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Xu Yujie,Zhang Shengli,Zhu Feng,Liang Yunyun

Funder

Natural Science Basic Research Program of Shaanxi

Xidian University Specially Funded Project for Interdisciplinary Exploration

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-69419-y.pdf

Reference55 articles.

1. Dadar, M. et al. Antiinflammatory peptides: Current knowledge and promising prospects. Inflamm. Res. 68, 125–145 (2019).

2. La Manna, S., Di Natale, C., Florio, D. & Marasco, D. Peptides as therapeutic agents for inflammatory-related diseases. Int. J. Mol. Sci. 19, 2714 (2018).

3. Zhao, L., Wang, X., Zhang, X. L. & Xie, Q. F. Purification and identification of anti-inflammatory peptides derived from simulated gastrointestinal digests of velvet antler protein (Cervus elaphus Linnaeus). J. Food Drug Anal. 24, 376–384 (2016).

4. Marie, C., Pitton, C., Fitting, C. & Cavaillon, J. M. Regulation by anti-inflammatory cytokines (IL-4, IL-10, IL-13, TGFbeta) of interleukin-8 production by LPS- and/or TNFalpha-activated human polymorphonuclear cells. Mediators Inflamm. 5, 334–340 (1996).

5. Delgado, M., Abad, C., Martinez, C., Leceta, J. & Gomariz, R. P. Vasoactive intestinal peptide prevents experimental arthritis by downregulating both autoimmune and inflammatory components of the disease. Nat. Med. 7, 563–568 (2001).

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