Accurate Identification of Antioxidant Proteins Based on a Combination of Machine Learning Techniques and Hidden Markov Model Profiles

Antioxidant proteins (AOPs) play important roles in the management and prevention of several human diseases due to their ability to neutralize excess free radicals. However, the identification of AOPs by using wet-lab experimental techniques is often time-consuming and expensive. In this study, we p...

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Detalles Bibliográficos
Autores principales: Shen, Zhehan, Liu, Taigang, Xu, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369162/
https://www.ncbi.nlm.nih.gov/pubmed/34413898
http://dx.doi.org/10.1155/2021/5770981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369162/
https://www.ncbi.nlm.nih.gov/pubmed/34413898
http://dx.doi.org/10.1155/2021/5770981

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