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

Accurate and efficient identification of anti-inflammatory peptides (AIPs) is crucial for the treatment of inflammation. Here, we proposed a two-layer stacking ensemble model, AIPStack, to effectively predict AIPs. At first, we constructed a new dataset for model building and validation. Then, pepti...

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Detalles Bibliográficos
Autores principales: Deng, Hua, Lou, Chaofeng, Wu, Zengrui, Li, Weihua, Liu, Guixia, Tang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449674/
https://www.ncbi.nlm.nih.gov/pubmed/36093066
http://dx.doi.org/10.1016/j.isci.2022.104967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449674/
https://www.ncbi.nlm.nih.gov/pubmed/36093066
http://dx.doi.org/10.1016/j.isci.2022.104967

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